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Merge pull request #6144 from nasa-gibs/release
Release to Main v4.76.0
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<?xml version="1.0" encoding="utf-8"?>
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<ColorMaps xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:noNamespaceSchemaLocation="http://gibs.earthdata.nasa.gov/schemas/ColorMap_v1.3.xsd">
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<ColorMap title="Flight Track (Per Flight, NPS CIRPAS facility instruments, CIRPAS Twin Otter, PACE-PAX)">
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<Entries>
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<ColorMapEntry rgb="146,208,80" sourceValue="200" transparent="false" ref="1" />
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<ColorMapEntry rgb="0,255,0" transparent="false" value="[1]" ref="2"/>
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<ColorMapEntry rgb="255,0,0" transparent="false" value="[2]" ref="3"/>
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</Entries>
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<Legend type="classification">
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<LegendEntry rgb="146,208,80" id="1" tooltip="Altitude (m)" label="Altitude (m)" showLabel="true" />
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<LegendEntry rgb="0,255,0" tooltip="Flight 1" id="2" label="Flight 1" showLabel="true" />
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<LegendEntry rgb="255,0,0" tooltip="Flight 2" id="3" label="Flight 2" showLabel="true" />
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</Legend>
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</ColorMap>
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</ColorMaps>
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<?xml version="1.0" encoding="utf-8"?>
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<ColorMaps xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:noNamespaceSchemaLocation="http://gibs.earthdata.nasa.gov/schemas/ColorMap_v1.3.xsd">
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<ColorMap title="Flight Track (Per Flight, ER-2 navigation systems, NASA ER-2, PACE-PAX)">
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<Entries>
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<ColorMapEntry rgb="251,217,102" sourceValue="200" transparent="false" ref="1" />
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</Entries>
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<Legend type="classification">
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<LegendEntry rgb="251,217,102" id="1" tooltip="Altitude (m)" label="Altitude (m)" showLabel="true" />
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</Legend>
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</ColorMap>
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</ColorMaps>
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<?xml version="1.0" encoding="utf-8"?>
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<ColorMaps xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:noNamespaceSchemaLocation="http://gibs.earthdata.nasa.gov/schemas/ColorMap_v1.3.xsd">
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<ColorMap title="Ship Track (Per Cruise, IWG1, R/V Shearwater, PACE-PAX)">
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<Entries>
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<ColorMapEntry rgb="251,217,102" sourceValue="200" transparent="false" ref="1" />
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</Entries>
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<Legend type="classification">
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<LegendEntry rgb="251,217,102" id="1" tooltip="Time (UTC)" label="Time (UTC)" showLabel="true" />
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</Legend>
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</ColorMap>
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</ColorMaps>
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The Cloud Liquid Water Path (Day) layer is a measure of the integrated liquid water, as in clouds or rain, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).
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The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record.
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The imagery resolution is 2 km and sensor resolution is 10 km along track x 5 km along scan. The temporal resolution was daily.
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References: AU_Ocean [doi:10.5067/9YQRFKKEPUP4](https://doi.org/10.5067/9YQRFKKEPUP4)
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The Cloud Liquid Water Path (Night) layer is a measure of the integrated liquid water, as in clouds or rain, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).
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The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record.
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The imagery resolution is 2 km and sensor resolution is 10 km along track x 5 km along scan. The temporal resolution was daily.
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References: AU_Ocean [doi:10.5067/9YQRFKKEPUP4](https://doi.org/10.5067/9YQRFKKEPUP4)
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The Columnar Water Vapor (Day) layer displays integrated water vapor in the atmospheric water column - synonymous with Total Precipitable Water (TPW) stored in the ocean parameters, and is measured in millimeters (mm).
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The data are derived by applying the AMSR-E/AMSR2 unified algorithm to L1R data obtained by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments.
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The imagery resolution is 2 km and sensor resolution is 10 km along track x 5 km along scan. The temporal resolution was daily.
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Data field: `TotalColWaterVapor`
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References: AU_Rain [doi:10.5067/P5MCTDH7674A](https://doi.org/10.5067/P5MCTDH7674A)
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The Columnar Water Vapor (Night) layer displays integrated water vapor in the atmospheric water column - synonymous with Total Precipitable Water (TPW) stored in the ocean parameters, and is measured in millimeters (mm).
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The data are derived by applying the AMSR-E/AMSR2 unified algorithm to L1R data obtained by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments.
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The imagery resolution is 2 km and sensor resolution is 10 km along track x 5 km along scan. The temporal resolution was daily.
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Data field: `TotalColWaterVapor`
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References: AU_Rain [doi:10.5067/P5MCTDH7674A](https://doi.org/10.5067/P5MCTDH7674A)
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The Ocean Wind Speed (Day) layer shows wind speed over oceans at 10m altitude in units of meters per second (m/s).
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The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record.
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The imagery resolution is 2 km and sensor resolution is 10 km along track x 5 km along scan. The temporal resolution was daily.
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References: AU_Ocean [doi:10.5067/9YQRFKKEPUP4](https://doi.org/10.5067/9YQRFKKEPUP4)
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The Ocean Wind Speed (Night) layer shows wind speed over oceans at 10m altitude in units of meters per second (m/s).
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The data are derived from AMSR-E and AMSR2 brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record.
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References: AU_Ocean [doi:10.5067/9YQRFKKEPUP4](https://doi.org/10.5067/9YQRFKKEPUP4)
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The Soil Moisture (Normalized Polarization Difference, Day) layer displays gridded estimates of surface soil moisture in the top 1 cm of soil and is measured in grams per centimeter by volume (g/cm<sup>3</sup>). It is estimated from AMSR-E/Aqua and AMSR2/GCOM-W1 L2A brightness temperature (Tb) measurements using the Normalized Polarization Difference algorithm (NPD) approach. Soil moisture estimates are derived from AMSR-E and AMSR2 data which have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to intercalibrate, or “unify,” the two sensors.
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References: AU_Land [doi:10.5067/IKQ0G7ODMLC7](https://doi.org/10.5067/IKQ0G7ODMLC7)

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