<?xml version="1.0" encoding="UTF-8"?>
<wfs:WFS_Capabilities xmlns:gml="http://www.opengis.net/gml/3.2" xmlns:wfs="http://www.opengis.net/wfs/2.0" xmlns:ows="http://www.opengis.net/ows/1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:fes="http://www.opengis.net/fes/2.0" xmlns:ec-msc="urn:x-msc-smc:md:weather-meteo" xmlns="http://www.opengis.net/wfs/2.0" version="2.0.0" updateSequence="2026-04-24T07:45:01Z" xsi:schemaLocation="http://www.opengis.net/wfs/2.0 http://schemas.opengis.net/wfs/2.0/wfs.xsd">
  <ows:ServiceIdentification>
    <ows:Title>MSC GeoMet — GeoMet-Weather 2.38.1</ows:Title>
    <ows:Abstract>GeoMet-Weather provides public access to the Meteorological Service of Canada (MSC) and Environment and Climate Change Canada (ECCC) data via interoperable web services and application programming interfaces (API). Through open standards, users can freely and quickly access thousands of real-time and archived weather, climate and water datasets and products and integrate them in their domain-specific applications and decision support systems. Users can build mobile apps, create interactive web maps, and display and animate MSC data in desktop software. MSC GeoMet also enables on demand raw data clipping and reprojection, on demand format conversion and custom visualization.</ows:Abstract>
    <ows:Keywords>
      <ows:Keyword>Weather</ows:Keyword>
      <ows:Keyword>Meteorology</ows:Keyword>
      <ows:Keyword>Climate</ows:Keyword>
      <ows:Keyword>Forecasting</ows:Keyword>
      <ows:Keyword>Floods</ows:Keyword>
      <ows:Keyword>Weather alerts</ows:Keyword>
      <ows:Keyword>Storms</ows:Keyword>
      <ows:Keyword>Wind</ows:Keyword>
      <ows:Keyword>Temperature</ows:Keyword>
      <ows:Keyword>Precipitations</ows:Keyword>
      <ows:Keyword>Snow</ows:Keyword>
      <ows:Keyword>Ice</ows:Keyword>
    </ows:Keywords>
    <ows:ServiceType codeSpace="OGC">WFS</ows:ServiceType>
    <ows:ServiceTypeVersion>2.0.0</ows:ServiceTypeVersion>
    <ows:Fees>None</ows:Fees>
    <ows:AccessConstraints>None</ows:AccessConstraints>
  </ows:ServiceIdentification>
  <ows:ServiceProvider>
    <ows:ProviderName>Government of Canada, Environment and Climate Change Canada, Meteorological Service of Canada</ows:ProviderName>
    <ows:ProviderSite xlink:type="simple" xlink:href="https://eccc-msc.github.io/open-data/msc-geomet/readme_en/"/>
    <ows:ServiceContact>
      <ows:IndividualName>National Inquiry Response Team</ows:IndividualName>
      <ows:PositionName>Service Channel</ows:PositionName>
      <ows:ContactInfo>
        <ows:Phone>
          <ows:Voice>None</ows:Voice>
          <ows:Facsimile>+01-506-451-6010</ows:Facsimile>
        </ows:Phone>
        <ows:Address>
          <ows:DeliveryPoint>77 Westmorland Street, Suite 260</ows:DeliveryPoint>
          <ows:City>Fredericton</ows:City>
          <ows:AdministrativeArea>New Brunswick</ows:AdministrativeArea>
          <ows:PostalCode>E3B 6Z3</ows:PostalCode>
          <ows:Country>Canada</ows:Country>
          <ows:ElectronicMailAddress>ecweather-meteo@ec.gc.ca</ows:ElectronicMailAddress>
        </ows:Address>
        <ows:OnlineResource xlink:type="simple" xlink:href="https://eccc-msc.github.io/open-data/msc-geomet/readme_en/"/>
        <ows:HoursOfService>Monday to Friday, 1300h - 2100h UTC</ows:HoursOfService>
        <ows:ContactInstructions>During hours of service</ows:ContactInstructions>
      </ows:ContactInfo>
      <ows:Role>pointOfContact</ows:Role>
    </ows:ServiceContact>
  </ows:ServiceProvider>
  <ows:OperationsMetadata>
    <ows:Operation name="GetCapabilities">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
      <ows:Parameter name="AcceptVersions">
        <ows:AllowedValues>
          <ows:Value>2.0.0</ows:Value>
          <ows:Value>1.1.0</ows:Value>
          <ows:Value>1.0.0</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
      <ows:Parameter name="AcceptFormats">
        <ows:AllowedValues>
          <ows:Value>text/xml</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
      <ows:Parameter name="Sections">
        <ows:AllowedValues>
          <ows:Value>ServiceIdentification</ows:Value>
          <ows:Value>ServiceProvider</ows:Value>
          <ows:Value>OperationsMetadata</ows:Value>
          <ows:Value>FeatureTypeList</ows:Value>
          <ows:Value>Filter_Capabilities</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
    </ows:Operation>
    <ows:Operation name="DescribeFeatureType">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
      <ows:Parameter name="outputFormat">
        <ows:AllowedValues>
          <ows:Value>application/gml+xml; version=3.2</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.2.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.1.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/2.1.2</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
    </ows:Operation>
    <ows:Operation name="GetFeature">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
      <ows:Parameter name="outputFormat">
        <ows:AllowedValues>
          <ows:Value>application/gml+xml; version=3.2</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.2.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.1.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/2.1.2</ows:Value>
          <ows:Value>application/json</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
    </ows:Operation>
    <ows:Operation name="GetPropertyValue">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
      <ows:Parameter name="outputFormat">
        <ows:AllowedValues>
          <ows:Value>application/gml+xml; version=3.2</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.2.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/3.1.1</ows:Value>
          <ows:Value>text/xml; subtype=gml/2.1.2</ows:Value>
        </ows:AllowedValues>
      </ows:Parameter>
    </ows:Operation>
    <ows:Operation name="ListStoredQueries">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
    </ows:Operation>
    <ows:Operation name="DescribeStoredQueries">
      <ows:DCP>
        <ows:HTTP>
          <ows:Get xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
          <ows:Post xlink:type="simple" xlink:href="https://geo.weather.gc.ca/geomet?"/>
        </ows:HTTP>
      </ows:DCP>
    </ows:Operation>
    <ows:Parameter name="version">
      <ows:AllowedValues>
        <ows:Value>2.0.0</ows:Value>
        <ows:Value>1.1.0</ows:Value>
        <ows:Value>1.0.0</ows:Value>
      </ows:AllowedValues>
    </ows:Parameter>
    <ows:Constraint name="ImplementsBasicWFS">
      <ows:NoValues/>
      <ows:DefaultValue>TRUE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsTransactionalWFS">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsLockingWFS">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="KVPEncoding">
      <ows:NoValues/>
      <ows:DefaultValue>TRUE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="XMLEncoding">
      <ows:NoValues/>
      <ows:DefaultValue>TRUE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="SOAPEncoding">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsInheritance">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsRemoteResolve">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsResultPaging">
      <ows:NoValues/>
      <ows:DefaultValue>TRUE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsStandardJoins">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsSpatialJoins">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsTemporalJoins">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ImplementsFeatureVersioning">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="ManageStoredQueries">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="PagingIsTransactionSafe">
      <ows:NoValues/>
      <ows:DefaultValue>FALSE</ows:DefaultValue>
    </ows:Constraint>
    <ows:Constraint name="QueryExpressions">
      <ows:AllowedValues>
        <ows:Value>wfs:Query</ows:Value>
        <ows:Value>wfs:StoredQuery</ows:Value>
      </ows:AllowedValues>
    </ows:Constraint>
  </ows:OperationsMetadata>
  <FeatureTypeList>
    <FeatureType>
      <Name>ec-msc:ALERTS</Name>
      <Title>Weather Alerts [deprecated]</Title>
      <Abstract>Environment Canada issues weather alerts about weather related hazards in order to notify those in affected areas so that they can take steps to protect themselves and their property from harm. Alerts are classified depending on the severity and timing of the subject event and include: warnings, watches, advisories and statements. Warnings are usually issued six to 24 hours in advance, although some severe weather (such as thunderstorms and tornadoes) can occur rapidly, with less than a half hours' notice.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Alerts</ows:Keyword>
        <ows:Keyword>Weather warnings</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Storms</ows:Keyword>
        <ows:Keyword>Floods</ows:Keyword>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2294</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2950</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3005</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3408</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3410</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3571</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3572</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3573</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3574</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3575</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3576</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3776</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3857</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3978</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3995</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::4267</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::4269</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26707</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26708</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26709</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26710</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26711</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26712</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26713</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26714</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26715</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26716</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26717</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26718</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26719</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26720</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26721</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26722</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26907</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26908</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26909</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26910</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26911</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26912</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26914</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26915</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26916</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26917</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26918</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26919</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26920</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26921</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26922</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32187</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32188</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32198</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32661</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42101</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42102</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42304</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102185</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
      <OutputFormats>
        <Format>application/gml+xml; version=3.2</Format>
        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
        <Format>text/xml; subtype=gml/2.1.2</Format>
        <Format>application/json</Format>
      </OutputFormats>
      <ows:WGS84BoundingBox dimensions="2">
        <ows:LowerCorner>-140.880000 42.100000</ows:LowerCorner>
        <ows:UpperCorner>-52.730000 82.500000</ows:UpperCorner>
      </ows:WGS84BoundingBox>
      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=79550951-6b17-49a6-9028-8ae1c21274cf"/>
    </FeatureType>
    <FeatureType>
      <Name>ec-msc:AQHI-OBS</Name>
      <Title>AQHI - Observations</Title>
      <Abstract>The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very High Health Risk). The AQHI is calculated based on the relative risks of a combination of common air pollutants that are known to harm human health, including ground-level ozone, particulate matter, and nitrogen dioxide. The AQHI formulation captures only the short term or acute health risk (exposure of hour or days at a maximum). The formulation of the AQHI may change over time to reflect new understanding associated with air pollution health effects. The AQHI is calculated from data observed in real time, without being verified (quality control).</Abstract>
      <ows:Keywords>
        <ows:Keyword/>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2294</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2950</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3005</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3408</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3410</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3571</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3572</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3573</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3574</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3575</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3576</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3776</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3857</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3978</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3995</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::4267</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::4269</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26707</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26708</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26709</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26710</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26711</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26712</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26713</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26714</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26715</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26716</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26717</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26718</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26719</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26720</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26721</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26722</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26907</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26908</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26909</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26910</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26911</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26912</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26914</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26915</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26916</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26917</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26918</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26919</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26920</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26921</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26922</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32187</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32188</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32198</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32661</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42101</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42102</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42304</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102185</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
      <OutputFormats>
        <Format>application/gml+xml; version=3.2</Format>
        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
        <Format>text/xml; subtype=gml/2.1.2</Format>
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      <Name>ec-msc:CAPS_3km_Thickness-Contour_1000to500mb</Name>
      <Title>CAPS - Thickness between 1000mb and 500mb (contour) [m] [experimental]</Title>
      <Abstract>The Canadian Arctic Prediction System (CAPS) is an experimental coupled atmosphere-ocean-ice prediction system based on a limited-area configuration (LAM) of the Global Environmental Multiscale (GEM) model, coupled with the Nucleus of European Modeling of the Ocean (NEMO) and the Community ICe Code (CICE). It covers the entire Arctic basin with a horizontal grid resolution of approximately 3 km. The system CAPS is driven by ECCC's Global Deterministic Prediction System (GDPS), which provides initial and lateral boundary conditions for atmospheric fields. Initial hydrometeorological fields are recycled from the 12-hour forecast of the previous CAPS integration. In addition, the GDPS is used to force the ocean-ice model outside the coupled regions. Initial conditions for ocean-ice fields are taken from the Regional Ocean-Ice Prediction System (RIOPS). Ocean boundary conditions in the North Atlantic and North Pacific come from the GDPS. The system CAPS runs twice a day and is initialized at 00 and 12 UTC, respectively, with a 48-hour integration.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>High resolution</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Arctic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:CIOPS-East_Footprint</Name>
      <Title>CIOPS-East footprint</Title>
      <Abstract></Abstract>
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      <Name>ec-msc:CIOPS-SalishSea_Footprint</Name>
      <Title>CIOPS-SalishSea footprint</Title>
      <Abstract>The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Ocean</ows:Keyword>
        <ows:Keyword>Ice</ows:Keyword>
        <ows:Keyword>Coast</ows:Keyword>
        <ows:Keyword>Ice</ows:Keyword>
        <ows:Keyword>Tides</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Environmental emergencies</ows:Keyword>
        <ows:Keyword>Coastal waters</ows:Keyword>
        <ows:Keyword>Coasts</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:CIOPS-West_Footprint</Name>
      <Title>CIOPS-West footprint</Title>
      <Abstract>The Coastal Ice Ocean Predicton System (CIOPS) provides a 48 hour ocean and ice forecast over different domains (East, West, Salish Sea) four times a day at 1/36° resolution. A pseudo-analysis component is forced at the ocean boundaries by the Regional Ice Ocean Prediction System (RIOPS) forecasts and spectrally nudged to the RIOPS solution in the deep ocean. Fields from the pseudo-analysis are used to initialize the 00Z forecast, whilst the 06, 12 and 18Z forecasts use a restart files saved at hour 6 from the previous forecast. The atmospheric fluxes for both the pseudo-analysis and forecast components are provided by the High Resolution Deterministic Prediction System (HRDPS) blended both spatially and temporally with either the Global Deterministic Prediction System (GDPS) (for CIOPS-East) or an uncoupled component of the Global Deterministic Prediction System (GDPS) at 10km horizontal resolution (for CIOPS-West) for areas not covered by the HRDPS. The ocean-ice forecasts from the CIOPS-East and CIOPS-West systems are available as hourly products. These products are available in NetCDF format on a latitude and longitude grid. The CIOPS-East domain covers the Gulf of St. Lawrence, the North West Atlantic and the east coast of Canada at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West main domain covers the North East Pacific and the west coast of Canada, also at a resolution of 2km (0.03 x 0.02 degree). The CIOPS-West system also outputs a regional enhancement at 500m resolution (0.008 x 0.005 degree) that covers the Salish Sea region only.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Ocean</ows:Keyword>
        <ows:Keyword>Ice</ows:Keyword>
        <ows:Keyword>Coast</ows:Keyword>
        <ows:Keyword>Ice</ows:Keyword>
        <ows:Keyword>Tides</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Environmental emergencies</ows:Keyword>
        <ows:Keyword>Coastal waters</ows:Keyword>
        <ows:Keyword>Coasts</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
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        <Format>application/gml+xml; version=3.2</Format>
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        <Format>application/json</Format>
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    <FeatureType>
      <Name>ec-msc:CURRENT_CONDITIONS</Name>
      <Title>Current Conditions</Title>
      <Abstract>Current conditions and forecasts for selected Canadian cities. Raw XML data are used to generate each city page on the Environment Canada web site https://www.weather.gc.ca/.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
      <OutputFormats>
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        <Format>text/xml; subtype=gml/3.2.1</Format>
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        <Format>application/json</Format>
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    <FeatureType>
      <Name>ec-msc:CaLDAS-NSRPS_Footprint</Name>
      <Title>CaLDAS-NSRPS footprint</Title>
      <Abstract>CaLDAS-NSRPS was installed within the National Surface and River Prediction System (NSRPS) at Environment and Climate Change Canada's (ECCC) Canadian Centre for Meteorological and Environmental Prediction (CCMEP) in July 2019. CaLDAS-NSRPS is a continuous offline land-surface assimilation system, which provides analyses of the land surface every 3 h over the domain of the High-Resolution Deterministic Prediction System (HRDPS) at a 2.5 km grid spacing. The emphasis in CaLDAS-NSRPS is to focus upon the assimilation of satellite based remote sensing observations to provide the optimal initial conditions for the predictive components of the NSRPS, the High Resolution Deterministic/Ensemble Land Surface Prediction System (HRDLPS/HRELPS) and the Deterministic/Ensemble Hydrological Prediction Systems (DHPS/EHPS). CaLDAS-NSRPS is launched 4 times per day, at 0000, 0600, 1200, and 1800 UTC.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Assimilation</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Land surface</ows:Keyword>
        <ows:Keyword>Soil moisture</ows:Keyword>
        <ows:Keyword>Dew point</ows:Keyword>
        <ows:Keyword>Surface radiative temperature</ows:Keyword>
        <ows:Keyword>Rivers</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:CanSIPS_Footprint</Name>
      <Title>CanSIPS footprint</Title>
      <Abstract>The Canadian Seasonal to Inter-annual Prediction System (CanSIPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the beginning of a month out to up to 12 months into the future, resulting in seasonal forecasts. Atmospheric elements include temperature, precipitation, wind speed and direction and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on a grid at a horizontal resolution of 2.5 degrees and 1 degree and for a few selected vertical levels. In addition, forecast probabilities for below, near, and above normal temperature and precipitation are available at both resolutions. Predictions and corresponding hindcast are made available monthly.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Probabilistic predictions</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <ows:WGS84BoundingBox dimensions="2">
        <ows:LowerCorner>-180.000000 -90.000000</ows:LowerCorner>
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    <FeatureType>
      <Name>ec-msc:CoastalFloodRiskIndex</Name>
      <Title>Coastal Flooding Risk Index</Title>
      <Abstract>The Coastal Flooding Risk Index is a geo- and time-referenced polygon product issued by the Meteorological Service of Canada (MSC) to articulate the coastal flooding risk, impact and probability. Products are issued daily by Storm Prediction Centres and are intended to provide early notification, out to 5 days, of coastal flooding due to astronomical tide, storm surge and wave impacts.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Risk</ows:Keyword>
        <ows:Keyword>Index</ows:Keyword>
        <ows:Keyword>Probability</ows:Keyword>
        <ows:Keyword>Storm surge</ows:Keyword>
        <ows:Keyword>Wave impact</ows:Keyword>
        <ows:Keyword>Floods</ows:Keyword>
        <ows:Keyword>Tides</ows:Keyword>
        <ows:Keyword>Coastal waters</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
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        <ows:LowerCorner>-72.041667 41.958334</ows:LowerCorner>
        <ows:UpperCorner>-44.291769 60.041598</ows:UpperCorner>
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      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=5dc1e43e-1776-5df8-919e-e229819c8954"/>
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    <FeatureType>
      <Name>ec-msc:Current-Alerts</Name>
      <Title>Current Weather Alerts [experimental]</Title>
      <Abstract>Environment Canada issues weather alerts about weather related hazards in order to notify those in affected areas so that they can take steps to protect themselves and their property from harm. Alerts are classified depending on the severity and timing of the subject event and include: warnings, watches, advisories and statements. Warnings are usually issued six to 24 hours in advance, although some severe weather (such as thunderstorms and tornadoes) can occur rapidly, with less than a half hours' notice.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Alerts</ows:Keyword>
        <ows:Keyword>Weather warnings</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Storms</ows:Keyword>
        <ows:Keyword>Floods</ows:Keyword>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
      <OutputFormats>
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        <Format>text/xml; subtype=gml/3.2.1</Format>
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        <Format>application/json</Format>
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      <ows:WGS84BoundingBox dimensions="2">
        <ows:LowerCorner>-140.880000 42.100000</ows:LowerCorner>
        <ows:UpperCorner>-52.730000 82.500000</ows:UpperCorner>
      </ows:WGS84BoundingBox>
      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=79550951-6b17-49a6-9028-8ae1c21274cf"/>
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    <FeatureType>
      <Name>ec-msc:GDPS-WEonG_Footprint</Name>
      <Title>GDPS-WEonG footprint</Title>
      <Abstract>Weather Elements on Grid (WEonG) based on the Global Deterministic Prediction System (GDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the Global Deterministic Prediction System (GDPS).</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Sky</ows:Keyword>
        <ows:Keyword>Thunderstorm</ows:Keyword>
        <ows:Keyword>Snow Squalls</ows:Keyword>
        <ows:Keyword>Blowing snow</ows:Keyword>
        <ows:Keyword>Fog</ows:Keyword>
        <ows:Keyword>Precipitation Types</ows:Keyword>
        <ows:Keyword>Wind Gusts</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
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      <Name>ec-msc:GDPS.PRES_PVU.2.6h-CONTOUR</Name>
      <Title>GDPS.ETA - Pressure at 2 Potential Vorticity Unit (PVU) (6 hourly forecast) (contour) [Pa]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:GDPSP_Footprint</Name>
      <Title>GDSPS footprint</Title>
      <Abstract>The Global Deterministic storm Surge Prediction System (GDSPS) produces water level forecasts using a modified version of the NEMO ocean model (Wang et al. 2021, 2022, 2023). It provides 240 hours forecasts twice per day on a 1/12° resolution grid (3-9 km). The model is forced by the 10 meters winds, sea level pressure, ice concentration, ice velocity and surface currents from the Global Deterministic Prediction System (GDPS). The three dimensionnal ocean temperature and salinity fields of the model are nudged to values provided by the Global Ice-Ocean Prediction System (GIOPS) and the GDPS. During the post-processing phase, storm surge elevation (ETAS) is derived from total water level (SSH) by harmonic analysis using t_tide (Foreman et al. 2009).</Abstract>
      <ows:Keywords>
        <ows:Keyword>Storm surge</ows:Keyword>
        <ows:Keyword>Sea surface height</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Storms</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
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      <Name>ec-msc:GDPS_15km_Pressure-PVU-1-Contour</Name>
      <Title>GDPS - Pressure at 1 Potential Vorticity Unit (PVU) (contour) [Pa] [experimental]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:GDPS_15km_Pressure-PVU-1.5-Contour</Name>
      <Title>GDPS - Pressure at 1.5 Potential Vorticity Unit (PVU) (contour) [Pa] [experimental]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
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      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
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      <Title>GDPS - Thickness between 850mb and 700mb (contour) [m] [experimental]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
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      <Title>GDPS - Thickness between 1000mb and 500mb (contour) [m] [experimental]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
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        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:GDPS_15km_Thickness-Contour_1000to850mb</Name>
      <Title>GDPS - Thickness between 1000mb and 850mb (contour) [m] [experimental]</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:GDPS_Footprint</Name>
      <Title>GDPS footprint</Title>
      <Abstract>The Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time. The experimental Global Deterministic Prediction System (GDPS) is a coupled atmosphere (GEM), ocean and sea ice (NEMO-CICE) deterministic numerical weather prediction model where the GEM-predicted large-scale temperature and horizontal wind components are spectrally nudged toward the Global Environmental eMuLator (GEML) predictions, ECCC's data-driven artificial intelligence (AI)-based weather model. Forecasts are carried out twice a day for 10 days lead time. The geographical coverage is global at 15 km horizontal resolution. Data is available on some thirty vertical levels and interpolated on a global latitude-longitude uniform grid with 0.15 degree horizontal resolution. Variables availability in number and time frequency is a function of forecast lead time.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:GDWPS_Footprint</Name>
      <Title>GDWPS footprint</Title>
      <Abstract>The Global Deterministic Wave Prediction System (GDWPS) produces wave forecasts out to 240 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds and the ice concentration from the Global Deterministic Prediction System (GDPS). The ice concentration is used by the model to attenuate wave growth in areas covered by 25% to 75% ice and to suppress it for concentration above 75%. Forecast elements include significant wave height, peak period and primary swell height, direction and period.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
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      <Name>ec-msc:GEPS_Footprint</Name>
      <Title>GEPS footprint</Title>
      <Abstract>The Global Ensemble Prediction System (GEPS) carries out physics calculations to arrive at probabilistic predictions of atmospheric elements from the current day out to 16 days into the future (up to 39 days twice a week on Mondays and Thursdays at 00UTC for calculating forecast anomalies). The GEPS produces different outlooks (scenarios) to estimate the forecast uncertainties due to the nonlinear (chaotic) behaviour of the atmosphere. The probabilistic predictions are based on an ensemble of 20 scenarios that differ in their initial conditions, their physics parameters which are randomly perturbed by a Stochastic Parameter Perturbation (SPP) method, and the stochastic perturbations (kinetic energy). A control member that is not perturbed is also available. Weather elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage is global. Data is available on some fifteen vertical levels on a global latitude-longitude uniform grid with 0.5 degree horizontal resolution (about 39km). Predictions are performed twice a day.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Probabilistic predictions</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Ensemble</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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    <FeatureType>
      <Name>ec-msc:GEWPS_Footprint</Name>
      <Title>GEWPS footprint</Title>
      <Abstract>The Global Ensemble Wave Prediction System (GEWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 16 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Global Ensemble Prediction System (GEPS). The GEPS forecast is a coupled atmosphere-ice-ocean model, its sea ice forecast is used by the GEWPS to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Ensemble</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:GIOPS_Footprint</Name>
      <Title>GIOPS footprint</Title>
      <Abstract>The Global Ice-Ocean Prediction System (GIOPS) produces global sea ice and ocean analyses and 10 day forecasts daily. This product contains time-mean sea ice and ocean forecast fields interpolated to two grids. One of the grids is a 0.2° resolution regular latitude-longitude grid covering the global ocean (north of 80° S). The other grid is in north-polar stereographic projection with a 5-km spacing at the standard parallel 60° N and covers the Arctic Ocean and the neighbouring sub-polar seas. Data is available for 50 depths. The data files are in netCDF format and comply with the Climate and Forecast Conventions.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Sea ice-ocean forecast</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Global</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Ice</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Arctic</ows:Keyword>
        <ows:Keyword>Coastal waters</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Polar regions</ows:Keyword>
      </ows:Keywords>
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      <Abstract>The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.</Abstract>
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      <Abstract>The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.</Abstract>
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        <ows:Keyword>Forecasting</ows:Keyword>
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        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Abstract>The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.</Abstract>
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        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:HRDPA.24P_WATERSHED</Name>
      <Title>HRDPA.24P - Average watershed precipitation (preliminary) [mm]</Title>
      <Abstract>The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analyses valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Quantity of precipitation</ows:Keyword>
        <ows:Keyword>Analysis</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
        <ows:Keyword>Measurement</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:HRDPA_Footprint</Name>
      <Title>HRDPA footprint</Title>
      <Abstract>The Canadian Precipitation Analysis System (CaPA) produces a best estimate of 6 and 24 hour precipitation amounts. This objective estimate integrates data from in situ precipitation gauge measurements, radar QPEs and a trial field generated by a numerical weather prediction system. In order to produce the High Resolution Deterministic Precipitation Analysis (HRDPA) at a resolution of 2.5 km, CaPA is connected to the continental HRDPS for its trial field. CaPA-HRDPA produces four analyses of 6 hour amounts per day, valid at synoptic hours (00, 06, 12 and 18 UTC) and two 24 hour analysis valid at 06 and 12 UTC. A preliminary production is started 1 hour after valid time and a final one is launched 7 hours later. This translates into a production of 12 analyses per day.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Quantity of precipitation</ows:Keyword>
        <ows:Keyword>Analysis</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
        <ows:Keyword>Measurement</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
      </ows:Keywords>
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    <FeatureType>
      <Name>ec-msc:HRDPS-Continental_Footprint</Name>
      <Title>HRDPS footprint</Title>
      <Abstract>The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>High resolution</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:HRDPS-WEonG_Footprint</Name>
      <Title>HRDPS-WEonG footprint</Title>
      <Abstract>Weather Elements on Grid (WEonG) based on the High Resolution Deterministic Prediction System (HRDPS) is a post-processing system designed to compute the weather elements required by different forecast programs (public, marine, aviation, air quality, etc.). This system amalgamates numerical and post-processed data using various diagnostic approaches. Hourly concepts are produced from different algorithms using outputs from the pan-Canadian High Resolution Deterministic Prediction System (HRDPS-NAT).</Abstract>
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        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>High resolution</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Sky</ows:Keyword>
        <ows:Keyword>Thunderstorm</ows:Keyword>
        <ows:Keyword>Snow Squalls</ows:Keyword>
        <ows:Keyword>Blowing snow</ows:Keyword>
        <ows:Keyword>Fog</ows:Keyword>
        <ows:Keyword>Precipitation Types</ows:Keyword>
        <ows:Keyword>Wind Gusts</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Title>HRDPS.CONTINENTAL - Thickness between 1000mb and 500mb (contour) [m]</Title>
      <Abstract>The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day.</Abstract>
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        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>High resolution</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Title>HRDPS.CONTINENTAL - Thickness between 850 mb and 700 mb (contour) [m]</Title>
      <Abstract>The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>High resolution</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Title>HRDPS.CONTINENTAL - Thickness between 1000 mb and 850 mb (contour) [m]</Title>
      <Abstract>The High Resolution Deterministic Prediction System (HRDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 48 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage of the system is most of Canada. Data is available over specific areas in the MSC Datamart and the whole coverage is available in the MSC GeoMet web services. Data is available at a horizontal resolution of about 2.5 km up to 31 vertical levels. Predictions are performed up to four times a day.</Abstract>
      <ows:Keywords>
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        <ows:Keyword>High resolution</ows:Keyword>
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      <Title>Hurricane Wind Forecast Wind Radii</Title>
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      <Title>Hurricane Response Zone</Title>
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      <Name>ec-msc:Marine-Standard-Forecast-Zones</Name>
      <Title>Marine Standard Forecast Zones (hybrid)</Title>
      <Abstract>The Marine Standard Forecast Zones layer is a collection of forecast location polygons that represents bounded (zone) locations at the Marine Program Standard level. The Marine Program standard level is used in most forecasts, warnings, watches, advisories and special marine weather statements. This layer is comprised mainly of water based Marine regions, Met Areas, Lakes, Great Lakes and many of the larger Inland water bodies. The layer is further comprised of four depictions, cartographic detailed (with proper shorelines and high resolution polygons), cartographic coarse (with generalized shorelines and low resolution polygons), and digital exaggerated (with exaggerated shorelines and low resolution polygons) and the hybrid (mix of cartographic detail and exaggerated). The digital layer (exaggerated) is a collection of polygons where shoreline boundaries are stretched inland. In this "Exaggerated" part of the layer, the boundaries are made smooth to reduce the number of polygon vertices. Boundaries of the forecast regions of this hybrid set are derived from the polygon boundaries of both the exaggerated digital, and the cartographic detailed set. Polygon boundaries along the shoreline of this set follow the exaggerated boundaries while the inland boundaries follow the detailed lines. The Marine Standard Forecast Zones layer is also presented in the polygon package in two coordinate systems, "Projected" (Lambert Conic Conformal) and "Unprojected" (Geographical Coordinated System).</Abstract>
      <ows:Keywords>
        <ows:Keyword>Polygons</ows:Keyword>
        <ows:Keyword>Boundaries</ows:Keyword>
        <ows:Keyword>Shapes</ows:Keyword>
        <ows:Keyword>Forecast zones</ows:Keyword>
        <ows:Keyword>Forecast sites</ows:Keyword>
        <ows:Keyword>Forecast locations</ows:Keyword>
        <ows:Keyword>Shape files</ows:Keyword>
        <ows:Keyword>Locations</ows:Keyword>
        <ows:Keyword>CLC</ows:Keyword>
        <ows:Keyword>Marine program</ows:Keyword>
        <ows:Keyword>Standard level</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Weather warnings</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
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    <FeatureType>
      <Name>ec-msc:Public-Standard-Forecast-Zones</Name>
      <Title>Public Standard Forecast Zones (hybrid)</Title>
      <Abstract>The Public Standard Forecast Zones layer is a collection of public program forecast location zone polygons that represents bounded measurable locations at the Public program Standard level. The public program standard level is used in most forecasts, warnings, watches, advisories and special weather statement. With the exception of the Manitoba Lakes, the layer is made up of mostly the land kind of polygons. The layer is made up of four depictions, cartographic detailed (with proper shorelines and high resolution polygons), cartographic coarse (with generalized shorelines and low resolution polygons), digital exaggerated (with exaggerated shorelines and low resolution polygons) and the hybrid (mix of cartographic detail and exaggerated). The digital layer (exaggerated) is a collection of polygons where shoreline boundaries are stretched offshore for the land polygons and inland for the water polygons. In this "Exaggerated" layer, the boundaries are made smooth to reduce the number of polygon vertices. Boundaries of the forecast regions of this hybrid set are derived from the polygon boundaries of both the exaggerated digital, and the cartographic detailed set. Polygon boundaries along the shoreline of this set follow the exaggerated boundaries while the inland boundaries follow the detailed lines. The Public Standard Forecast Zones layer is presented in the polygon package in two coordinate systems, "Projected" (Lambert Conformal Conic) and "Unprojected" (Geographical Coordinated System).</Abstract>
      <ows:Keywords>
        <ows:Keyword>Polygons</ows:Keyword>
        <ows:Keyword>Boundaries</ows:Keyword>
        <ows:Keyword>Shapes</ows:Keyword>
        <ows:Keyword>Forecast zones</ows:Keyword>
        <ows:Keyword>Forecast sites</ows:Keyword>
        <ows:Keyword>Forecast locations</ows:Keyword>
        <ows:Keyword>Shape files</ows:Keyword>
        <ows:Keyword>Locations</ows:Keyword>
        <ows:Keyword>CLC</ows:Keyword>
        <ows:Keyword>Public program</ows:Keyword>
        <ows:Keyword>Standard level</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Weather warnings</ows:Keyword>
        <ows:Keyword>Geographic data</ows:Keyword>
        <ows:Keyword>Boundaries</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::3005</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::3408</OtherCRS>
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    <FeatureType>
      <Name>ec-msc:RADAR_COVERAGE_RRAI</Name>
      <Title>Dynamic radar coverage for rain</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Radar coverage</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
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        <ows:LowerCorner>-180.000000 -89.999000</ows:LowerCorner>
        <ows:UpperCorner>180.000000 90.000000</ows:UpperCorner>
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    <FeatureType>
      <Name>ec-msc:RADAR_COVERAGE_RRAI.INV</Name>
      <Title>Inverted dynamic radar coverage for rain</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Radar coverage</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
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      <Name>ec-msc:RADAR_COVERAGE_RSNO</Name>
      <Title>Dynamic radar coverage for snow</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
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        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
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    <FeatureType>
      <Name>ec-msc:RADAR_COVERAGE_RSNO.INV</Name>
      <Title>Inverted dynamic radar coverage for snow</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Radar coverage</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
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      <Name>ec-msc:RAQDPS-FW.CE_Footprint</Name>
      <Title>RAQDPS-FW footprint (Cumulative Effects)</Title>
      <Abstract>The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level and the total column. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.</Abstract>
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        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Particulate matter</ows:Keyword>
        <ows:Keyword>Wildfires</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Air quality</ows:Keyword>
        <ows:Keyword>Atmospheric emissions</ows:Keyword>
        <ows:Keyword>Chemicals</ows:Keyword>
        <ows:Keyword>Forest fires</ows:Keyword>
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      <Title>Wildfire hotspots Cumulative Effects products (2023)</Title>
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      <Title>Wildfire hotspots Cumulative Effects products (2024)</Title>
      <Abstract>Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment.</Abstract>
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      <Abstract>Hotspots are locations where wildfires are actively burning, identified from infrared satellite imagery. Hotspot locations are provided by NASA and NOAA, and further processed by Natural Resources Canada's Canadian Wildland Fire Information System. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) to enable forecasting air quality while taking into account wildfire emissions. Geographical coverage is Canada and the United States. The products are presented as historical annual compilations which highlight long-term trends in cumulative effects on the environment.</Abstract>
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      <Title>RAQDPS footprint</Title>
      <Abstract>The Regional Air Quality Deterministic Prediction System (RAQDPS) takes into account physical and chemical processes to produce deterministic forecasts of the concentration of chemical species of interest to air quality. These chemical constituents include gases such as O3, SO2, NO, and NO2, in addition to fine particles PM2.5 (diameter of 2.5 micrometers or less) and coarse particles PM10 (diameter of 10 micrometers or less). The PM2.5 and PM10 now include the contribution of wildfire emissions as well as anthropogenic and biogenic emission sources. The forecasts are available for the present up to 72 hours in the future twice a day (run 00 UTC and 12 UTC). The geographic domain of the RAQDPS covers most of North America with a horizontal resolution of 10km.</Abstract>
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      <Name>ec-msc:RDAQA.CE_Footprint</Name>
      <Title>RDAQA footprint (Cumulative Effects)</Title>
      <Abstract>The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include O3, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Particulate matter</ows:Keyword>
        <ows:Keyword>Analysis</ows:Keyword>
        <ows:Keyword>Air quality</ows:Keyword>
        <ows:Keyword>Atmospheric emissions</ows:Keyword>
        <ows:Keyword>Ozone</ows:Keyword>
        <ows:Keyword>Chemicals</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:RDAQA_Footprint</Name>
      <Title>RDAQA footprint</Title>
      <Abstract>Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants that combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) with hourly observations from various monitoring networks in North America, including the Canadian measurement networks operated by the provinces, territories and certain cities, as well as the various American networks in the context of the AIRNow program administered by US/EPA (US Environmental Protection Agency). RDAQA analysis provides the best description of current air quality conditions, and is used to inform the public, meteorologists in the various Environment and Climate Change Canada forecasting offices, Health Canada and other users about the distribution of air pollutants near the ground, and the performance of forecasting models. Each hour, a preliminary product is available approximately one hour after the observation measurement time, while final and Firework products are available approximately two hours after the measurement time. The preliminary and final products contain analysis of the chemical constituents O3, SO2, NO, NO2, PM2.5 (fine particles with diameters of 2.5 micrometers or less) and PM10 (coarse particles with diameters of 10 micrometers or less), while the Firework product contains analysis of PM2.5 and PM10.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Particulate matter</ows:Keyword>
        <ows:Keyword>Analysis</ows:Keyword>
        <ows:Keyword>Air quality</ows:Keyword>
        <ows:Keyword>Atmospheric emissions</ows:Keyword>
        <ows:Keyword>Ozone</ows:Keyword>
        <ows:Keyword>Chemicals</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:RDPS.ETA_DZ-CONTOUR</Name>
      <Title>RDPS.ETA - Thickness between 1000mb and 500mb (contour) [m]</Title>
      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
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        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Title>RDPS - Pressure at 2 Potential Vorticity Unit (PVU) (contour) [Pa]</Title>
      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
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        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
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      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
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        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
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        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
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      <Name>ec-msc:RDPS_10km_Thickness-Contour_1000to850mb</Name>
      <Title>RDPS - Thickness between 1000mb and 850mb (contour) [m]</Title>
      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:RDPS_Footprint</Name>
      <Title>RDPS footprint</Title>
      <Abstract>The Regional Deterministic Prediction System (RDPS) carries out physics calculations to arrive at deterministic predictions of atmospheric elements from the current day out to 84 hours into the future. Atmospheric elements include temperature, precipitation, cloud cover, wind speed and direction, humidity and others. This product contains raw numerical results of these calculations. Geographical coverage includes Canada and the United States. Data is available at horizontal resolution of about 10 km up to 33 vertical levels. Predictions are performed four times a day. The Regional Deterministic Prediction System is now a component of the Global Deterministic Prediction System (GDPS) at 10 km resolution, over a North American domain.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Weather forecasts</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Snow</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
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      <Name>ec-msc:RDWPS-Erie_Footprint</Name>
      <Title>RDWPS-Lake Erie footprint</Title>
      <Abstract>The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
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      <Name>ec-msc:RDWPS-Huron-Michigan_Footprint</Name>
      <Title>RDWPS-Lake Huron-Michigan footprint</Title>
      <Abstract>The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
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      <Name>ec-msc:RDWPS-National_Footprint</Name>
      <Title>RDWPS footprint</Title>
      <Abstract>The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:RDWPS-Ontario_Footprint</Name>
      <Title>RDWPS-Lake Ontario footprint</Title>
      <Abstract>The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:RDWPS-Superior_Footprint</Name>
      <Title>RDWPS-Lake Superior footprint</Title>
      <Abstract>The Regional Deterministic Wave Prediction System (RDWPS) produces wave forecasts out to 48 hours in the future using the third generation spectral wave forecast model WaveWatch III® (WW3). The model is forced by the 10 meters winds from the High Resolution Deterministic Prediction System (HRDPS). Over the Great Lakes, an ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to attenuate or suppress wave growth in areas covered by 25% to 75% and more than 75% ice, respectively. Over the ocean, an ice forecast from the Regional Ice Ocean Prediction System (RIOPS) is used: in the Northeast Pacific, waves propagate freely for ice concentrations below 50%, above this threshold there is no propagation; in the Northwest Atlantic the same logic is used as in the Great Lakes. Forecast elements include significant wave height, peak period, partitioned parameters and others. This system includes several domains: Lake Superior, Lake Huron-Michigan, Lake Erie, Lake Ontario, Atlantic North-West and Pacific North-East.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:RESPS_Footprint</Name>
      <Title>RESPS footprint</Title>
      <Abstract>The Regional Ensemble storm Surge Prediction System (RESPS) produces storm surge forecasts using the DalCoast ocean model. DalCoast (Bernier and Thompson 2015) is a storm surge forecast system for the east coast of Canada based on the depth-integrated, barotropic and linearized form of the Princeton Ocean Model. The model is forced by the 10 meters winds and sea level pressure from the Global Ensemble Prediction System (GEPS).</Abstract>
      <ows:Keywords>
        <ows:Keyword>Storm surge</ows:Keyword>
        <ows:Keyword>Sea surface height</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Ensemble</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Storms</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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      <Name>ec-msc:REWPS_Footprint</Name>
      <Title>REWPS footprint</Title>
      <Abstract>The Regional Ensemble Wave Prediction System (REWPS) uses the third generation spectral wave model WaveWatch III® (WW3) to arrive at probabilistic predictions of wave elements from the current day out to 3 days into the future. The probabilistic predictions are based on 20 ensemble members and a control member that are forced by the 10 meters winds from the Regional Ensemble Prediction System (REPS). An ice forecast from the Water Cycle Prediction System of the Great Lakes (WCPS) is used by the model to dampen or suppress wave growth in areas covered respectively with 25% to 75% and more than 75% ice. WW3 (WAVEWATCH III® Development Group, WW3DG 2019) is a third generation spectral wave prediction model that solves the evolution of the energy balance equation for the 2-D wave energy spectrum without any prior assumptions on the shape of the spectrum. The WW3 model has been implemented by a growing number of national operational forecasting centres over the last several years. The REWPS data are available on the Great Lakes domain.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Waves</ows:Keyword>
        <ows:Keyword>Swell</ows:Keyword>
        <ows:Keyword>Prediction</ows:Keyword>
        <ows:Keyword>Regional</ows:Keyword>
        <ows:Keyword>Ensemble</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Water</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Ocean energy</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
      </ows:Keywords>
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    <FeatureType>
      <Name>ec-msc:Radar-Coverage_SfcPrecipType</Name>
      <Title>Dynamic radar coverage for surface precipitation type</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Radar coverage</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::26909</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::42304</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102185</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
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    <FeatureType>
      <Name>ec-msc:Radar-Coverage_SfcPrecipType-Inverted</Name>
      <Title>Inverted dynamic radar coverage for surface precipitation type</Title>
      <Abstract>Radar coverage is provided to dynamically display the zones covered by the radars every 6 minutes, and to provide information on the availability (or not) of the contributing radars as well as on the areas of overlap.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmospheric conditions</ows:Keyword>
        <ows:Keyword>Meteorology</ows:Keyword>
        <ows:Keyword>Radar coverage</ows:Keyword>
        <ows:Keyword>Radar</ows:Keyword>
        <ows:Keyword>Remote sensing</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
      </ows:Keywords>
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    <FeatureType>
      <Name>ec-msc:SWOB-Marine-Stations</Name>
      <Title>SWOB Stations - Marine</Title>
      <Abstract>Hourly surface land observations support weather forecasting and climate monitoring, with meteorological data reported hourly from either data logger output tables 11 or 160. Campbell Scientific data loggers are utilized in this network to acquire, process, store, and transmit sensor data. Observations are encoded by the data loggers and transmitted individually via the Datalogger Retrieval System.</Abstract>
      <ows:Keywords>
        <ows:Keyword>SYNOP</ows:Keyword>
        <ows:Keyword>Station pressure</ows:Keyword>
        <ows:Keyword>Maximum temperature</ows:Keyword>
        <ows:Keyword>Minimum temperature</ows:Keyword>
        <ows:Keyword>Mean temperature</ows:Keyword>
        <ows:Keyword>Average temperature</ows:Keyword>
        <ows:Keyword>Wind direction</ows:Keyword>
        <ows:Keyword>Wind speed</ows:Keyword>
        <ows:Keyword>Total precipitation</ows:Keyword>
        <ows:Keyword>Maximum relative humidity</ows:Keyword>
        <ows:Keyword>Minimum relative humidity</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
        <ows:Keyword>Hourly</ows:Keyword>
        <ows:Keyword>Surface</ows:Keyword>
        <ows:Keyword>Land</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
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        <Format>application/json</Format>
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        <ows:UpperCorner>-52.600000 82.500000</ows:UpperCorner>
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      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=c944aca6-0d59-418c-9d91-23247c8ada17"/>
    </FeatureType>
    <FeatureType>
      <Name>ec-msc:SWOB-Partner-Stations</Name>
      <Title>SWOB Stations - Partners</Title>
      <Abstract>The MSC moored buoy network operates approximately 20-40 moored buoys, varying based on seasonal changes, along the West and East coasts, and inland lakes. These buoys include 3-meter discus buoys along the coasts and both 3 and 1.7-meter Watchkeeper buoys on inland lakes. The network utilizes two types of payloads, namely Watchman100 (WM100) and Watchman500 (WM500), with a transition to the latter since 2021. WM500 payloads offer full-time Iridium data transmission with additional wave and housekeeping elements reported at regular hourly intervals. Buoys with WM100 payloads primarily use satellite telemetry (GOES) for data delivery.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Station pressure</ows:Keyword>
        <ows:Keyword>Maximum temperature</ows:Keyword>
        <ows:Keyword>Minimum temperature</ows:Keyword>
        <ows:Keyword>Mean temperature</ows:Keyword>
        <ows:Keyword>Average temperature</ows:Keyword>
        <ows:Keyword>Wind direction</ows:Keyword>
        <ows:Keyword>Wind speed</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
        <ows:Keyword>Marine</ows:Keyword>
        <ows:Keyword>Atmospheric pressure</ows:Keyword>
        <ows:Keyword>Air Temperature</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Wave</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Lakes</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::3408</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
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        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
        <Format>text/xml; subtype=gml/2.1.2</Format>
        <Format>application/json</Format>
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        <ows:UpperCorner>-52.600000 82.500000</ows:UpperCorner>
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      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=fef83cf6-170d-4ab1-8694-05a25a429478"/>
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    <FeatureType>
      <Name>ec-msc:SWOB-Surface-Stations</Name>
      <Title>SWOB Stations</Title>
      <Abstract>Hourly surface land observations support weather forecasting and climate monitoring, with meteorological data reported hourly from either data logger output tables 11 or 160. Campbell Scientific data loggers are utilized in this network to acquire, process, store, and transmit sensor data. Observations are encoded by the data loggers and transmitted individually via the Datalogger Retrieval System.</Abstract>
      <ows:Keywords>
        <ows:Keyword>SYNOP</ows:Keyword>
        <ows:Keyword>Station pressure</ows:Keyword>
        <ows:Keyword>Maximum temperature</ows:Keyword>
        <ows:Keyword>Minimum temperature</ows:Keyword>
        <ows:Keyword>Mean temperature</ows:Keyword>
        <ows:Keyword>Average temperature</ows:Keyword>
        <ows:Keyword>Wind direction</ows:Keyword>
        <ows:Keyword>Wind speed</ows:Keyword>
        <ows:Keyword>Total precipitation</ows:Keyword>
        <ows:Keyword>Maximum relative humidity</ows:Keyword>
        <ows:Keyword>Minimum relative humidity</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
        <ows:Keyword>Hourly</ows:Keyword>
        <ows:Keyword>Surface</ows:Keyword>
        <ows:Keyword>Land</ows:Keyword>
        <ows:Keyword>Air temperature</ows:Keyword>
        <ows:Keyword>Humidity</ows:Keyword>
        <ows:Keyword>Precipitation</ows:Keyword>
        <ows:Keyword>Wind</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2294</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
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        <Format>application/gml+xml; version=3.2</Format>
        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
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        <Format>application/json</Format>
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        <ows:UpperCorner>-52.600000 82.500000</ows:UpperCorner>
      </ows:WGS84BoundingBox>
      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=c944aca6-0d59-418c-9d91-23247c8ada17"/>
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    <FeatureType>
      <Name>ec-msc:WCPS-Ocean-Atm_Footprint</Name>
      <Title>WCPS-Ocean-Atmosphere footprint</Title>
      <Abstract>WCPS-coupled forecast is the component in the Water Cycle Prediction System (WCPS) that provides the coupled atmosphere-ocean-sea ice forecasts at a 1km resolution (0.008 x 0.008 degree) over the Great Lakes, St. Lawrence River and the Gulf of St. Lawrence. It launches 4 times a day at 00, 06, 12, and 18 UTC and produces 84 hours forecast, based on the atmospheric model GEM, coupled with the ocean-ice model NEMO-CICE. The products from WCPS-coupled forecasts are (1) GEM : surface air temperatures, surface wind velocities, and surface runoff (2) NEMO-CICE : variety of lake/ocean sea ice variables, for example, lake levels and temperatures. They are designed to help forecasters issuing bulletins and warnings in ice-infestested waters for navigation, water level alert, emergency response, Search and Rescue, and CIS Sea Ice forecast.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Atmosphere</ows:Keyword>
        <ows:Keyword>Deterministic</ows:Keyword>
        <ows:Keyword>Meteorological data</ows:Keyword>
        <ows:Keyword>Weather</ows:Keyword>
        <ows:Keyword>Forecasting</ows:Keyword>
        <ows:Keyword>Oceans</ows:Keyword>
        <ows:Keyword>Seas</ows:Keyword>
        <ows:Keyword>Lakes</ows:Keyword>
        <ows:Keyword>Rivers</ows:Keyword>
      </ows:Keywords>
      <DefaultCRS>urn:ogc:def:crs:EPSG::4326</DefaultCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2294</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
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      <OutputFormats>
        <Format>application/gml+xml; version=3.2</Format>
        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
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        <Format>application/json</Format>
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        <ows:LowerCorner>-180.000000 -90.000000</ows:LowerCorner>
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    <FeatureType>
      <Name>ec-msc:WildfireHotspots</Name>
      <Title>Wildfire hotspots ingested by RAQDPS</Title>
      <Abstract>Hotspots represent active wild fires. Natural Resources Canada Canadian Wild Fire Information System identifies them by processing Infrared satellite images. This layer contains the hotspots that are selected to be used as input for the Regional Air Quality Deterministic Prediction System (RAQDPS) to enable forecasting air quality while taking into account wild fire emissions.</Abstract>
      <ows:Keywords>
        <ows:Keyword>Hotspots</ows:Keyword>
        <ows:Keyword>Wildfires</ows:Keyword>
        <ows:Keyword>FireWork</ows:Keyword>
        <ows:Keyword>Forest fires</ows:Keyword>
      </ows:Keywords>
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      <OtherCRS>urn:ogc:def:crs:EPSG::2295</OtherCRS>
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      <OtherCRS>urn:ogc:def:crs:EPSG::26710</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26711</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26712</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26713</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26714</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26715</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26716</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26717</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26718</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26719</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26720</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26721</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26722</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26907</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26908</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26909</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26910</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26911</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26912</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26914</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26915</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26916</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26917</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26918</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26919</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26920</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26921</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::26922</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32187</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32188</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32198</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::32661</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42101</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42102</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::42304</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102100</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::102185</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:EPSG::900913</OtherCRS>
      <OtherCRS>urn:ogc:def:crs:AUTO2::42003</OtherCRS>
      <OutputFormats>
        <Format>application/gml+xml; version=3.2</Format>
        <Format>text/xml; subtype=gml/3.2.1</Format>
        <Format>text/xml; subtype=gml/3.1.1</Format>
        <Format>text/xml; subtype=gml/2.1.2</Format>
        <Format>application/json</Format>
      </OutputFormats>
      <ows:WGS84BoundingBox dimensions="2">
        <ows:LowerCorner>-180.000000 18.000000</ows:LowerCorner>
        <ows:UpperCorner>-52.000000 90.000000</ows:UpperCorner>
      </ows:WGS84BoundingBox>
      <MetadataURL xlink:href="https://csw.open.canada.ca/geonetwork/srv/csw?service=CSW&amp;version=2.0.2&amp;request=GetRecordById&amp;outputschema=csw:IsoRecord&amp;elementsetname=full&amp;id=8f86f415-7fef-5377-940c-c169c9854520"/>
    </FeatureType>
  </FeatureTypeList>
  <fes:Filter_Capabilities>
    <fes:Conformance>
      <fes:Constraint name="ImplementsQuery">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsAdHocQuery">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsFunctions">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsResourceId">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsMinStandardFilter">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsStandardFilter">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsMinSpatialFilter">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsSpatialFilter">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsMinTemporalFilter">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsTemporalFilter">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsVersionNav">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsSorting">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsExtendedOperators">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsMinimumXPath">
        <ows:NoValues/>
        <ows:DefaultValue>TRUE</ows:DefaultValue>
      </fes:Constraint>
      <fes:Constraint name="ImplementsSchemaElementFunc">
        <ows:NoValues/>
        <ows:DefaultValue>FALSE</ows:DefaultValue>
      </fes:Constraint>
    </fes:Conformance>
    <fes:Id_Capabilities>
      <fes:ResourceIdentifier name="fes:ResourceId"/>
    </fes:Id_Capabilities>
    <fes:Scalar_Capabilities>
      <fes:LogicalOperators/>
      <fes:ComparisonOperators>
        <fes:ComparisonOperator name="PropertyIsEqualTo"/>
        <fes:ComparisonOperator name="PropertyIsNotEqualTo"/>
        <fes:ComparisonOperator name="PropertyIsLessThan"/>
        <fes:ComparisonOperator name="PropertyIsGreaterThan"/>
        <fes:ComparisonOperator name="PropertyIsLessThanOrEqualTo"/>
        <fes:ComparisonOperator name="PropertyIsGreaterThanOrEqualTo"/>
        <fes:ComparisonOperator name="PropertyIsLike"/>
        <fes:ComparisonOperator name="PropertyIsBetween"/>
      </fes:ComparisonOperators>
    </fes:Scalar_Capabilities>
    <fes:Spatial_Capabilities>
      <fes:GeometryOperands>
        <fes:GeometryOperand name="gml:Point"/>
        <fes:GeometryOperand name="gml:MultiPoint"/>
        <fes:GeometryOperand name="gml:LineString"/>
        <fes:GeometryOperand name="gml:MultiLineString"/>
        <fes:GeometryOperand name="gml:Curve"/>
        <fes:GeometryOperand name="gml:MultiCurve"/>
        <fes:GeometryOperand name="gml:Polygon"/>
        <fes:GeometryOperand name="gml:MultiPolygon"/>
        <fes:GeometryOperand name="gml:Surface"/>
        <fes:GeometryOperand name="gml:MultiSurface"/>
        <fes:GeometryOperand name="gml:Box"/>
        <fes:GeometryOperand name="gml:Envelope"/>
      </fes:GeometryOperands>
      <fes:SpatialOperators>
        <fes:SpatialOperator name="Equals"/>
        <fes:SpatialOperator name="Disjoint"/>
        <fes:SpatialOperator name="Touches"/>
        <fes:SpatialOperator name="Within"/>
        <fes:SpatialOperator name="Overlaps"/>
        <fes:SpatialOperator name="Crosses"/>
        <fes:SpatialOperator name="Intersects"/>
        <fes:SpatialOperator name="Contains"/>
        <fes:SpatialOperator name="DWithin"/>
        <fes:SpatialOperator name="Beyond"/>
        <fes:SpatialOperator name="BBOX"/>
      </fes:SpatialOperators>
    </fes:Spatial_Capabilities>
    <fes:Temporal_Capabilities>
      <fes:TemporalOperands>
        <fes:TemporalOperand name="gml:TimePeriod"/>
        <fes:TemporalOperand name="gml:TimeInstant"/>
      </fes:TemporalOperands>
      <fes:TemporalOperators>
        <fes:TemporalOperator name="During"/>
      </fes:TemporalOperators>
    </fes:Temporal_Capabilities>
  </fes:Filter_Capabilities>
</wfs:WFS_Capabilities>
