20170911 11260800 1.0 TRUE 20190411 13024900 150000000 5000 ItemDescription <div style='text-align:Left;'><div><div><p><span>Quality Controlled 1km x 1km CONUS Radar Base Reflectivity. This data is provided by Multi-Radar-Multi-Sensor (MRMS) algorithm.</span></p><p><span /></p><p><span>Link to graphical web page</span><a href='https://radar.weather.gov/'><span>: https://radar.weather.gov/</span></a></p><p><span>Link to data download (tif): </span><a href='https://mrms.ncep.noaa.gov/data/'><span>h</span><span>ttps://mrms.ncep.noaa.gov/data/</span></a><span /></p><p><span><span>Link to </span></span><span><span>metadata: </span><a href='https://www.weather.gov/gis/IDP-GISRestMetadata'><span>https://www.weather.gov/gis/IDP-GISRestMetadata</span></a></span></p><p><span><span>Questions/Concerns about the service, please contact the </span></span><a href='mailto:idp.gis.support@noaa.gov'><span><span><span>IDP-GIS </span></span></span></a><span><span>team.</span></span></p></div></div></div> weather radar doppler Quality Controlled 1km x 1km CONUS Radar Base Reflectivity. National Weather Service radar_base_reflectivity 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