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Using the NASA EOSDIS Common Metadata Repository

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  • DSCOVR Magnetometer Level 0

    https://cmr.earthdata.nasa.gov/search/concepts/C2106523992-NOAA_NCEI.xml
    Description:

    Interplanetary magnetic field observations collected from magnetometer on DSCOVR satellite - unprocessed, full resolution

    Links: Temporal Extent: Spatial Extent:

    NOAA_NCEI Short Name: spase://NOAA/NumericalData/DSCOVR/MAG/mg0 Version ID: Not Applicable Unique ID: C2106523992-NOAA_NCEI

  • EPIC-view satellite composites for DSCOVR, Version 1

    https://cmr.earthdata.nasa.gov/search/concepts/C1576365803-LARC_ASDC.xml
    Description:

    In DSCOVR_EPIC_L2_composite_01, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. All cloud properties were determined using a common set of algorithms, the Satellite ClOud and Radiation Property retrieval System (SatCORPS), based on the CERES cloud detection and retrieval system. Cloud properties from these LEO/GEO imagers are optimally merged together to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the EPIC observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC FOV by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted averages of radiances and cloud properties are computed separately for each cloud phase. Ancillary data (i.e. surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).

    Links: Temporal Extent: Spatial Extent:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_ASDC Short Name: DSCOVR_EPIC_L2_COMPOSITE Version ID: 01 Unique ID: C1576365803-LARC_ASDC

  • GEO/LEO based cloud property composites for DSCOVR EPIC view, Version 2

    https://cmr.earthdata.nasa.gov/search/concepts/C2231134699-LARC_ASDC.xml
    Description:

    In DSCOVR_EPIC_L2_composite_02, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. All cloud properties were determined using a common set of algorithms, the Satellite ClOud and Radiation Property retrieval System (SatCORPS), based on the CERES cloud detection and retrieval system. Cloud properties from these LEO/GEO imagers are optimally merged together to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the EPIC observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC FOV by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted averages of radiances and cloud properties are computed separately for each cloud phase. Ancillary data (i.e. surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).

    Links: Temporal Extent: Spatial Extent:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_ASDC Short Name: DSCOVR_EPIC_L2_COMPOSITE Version ID: 02 Unique ID: C2231134699-LARC_ASDC