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

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).

Resources

Name Format Description Link
21 https://epic.gsfc.nasa.gov/
21 DOI data set landing page for DSCOVR_EPIC_L2_COMPOSITE_02 https://doi.org/10.5067/EPIC/DSCOVR/L2_COMPOSITE_02
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FEPIC%2FDSCOVR%2FL2_COMPOSITE_02
21 How to cite ASDC data https://asdc.larc.nasa.gov/citing-data
21 ASDC Data and Information for DSCOVR https://asdc.larc.nasa.gov/project/DSCOVR
21 Earthdata Search for DSCOVR_EPIC_L2_COMPOSITE_02 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data). https://search.earthdata.nasa.gov/search/granules?p=C2231134699-LARC_ASDC
21 ASDC Direct Data Download for DSCOVR_EPIC_L2_COMPOSITE_02 https://asdc.larc.nasa.gov/data/DSCOVR/EPIC/L2_COMPOSITE_02/
21 OPeNDAP data access for DSCOVR_EPIC_L2_COMPOSITE_02 https://opendap.larc.nasa.gov/opendap/DSCOVR/EPIC/L2_COMPOSITE_02/contents.html

Tags

  • atmospheric-radiation
  • atmosphere
  • clouds
  • earth-science

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