EPIC-view satellite composites for DSCOVR

Metadata Updated: April 30, 2019

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date April 30, 2019
Metadata Updated Date April 30, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date April 30, 2019
Metadata Updated Date April 30, 2019
Unique Identifier C1576365803-LARC_ASDC
Wenying Su
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://data.nasa.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Citation 2017-09-15. Archived by National Aeronautics and Space Administration, U.S. Government, NASA/LARC/SD/ASDC. https://doi.org/10.5067/EPIC/DSCOVR/L2_COMPOSITE_01. http://eosweb.larc.nasa.gov/project/dscovr/dscovr_table.
Harvest Object Id a1b139d3-8aa9-4056-a20f-b23b39abcad0
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-09-15
Homepage URL https://doi.org/10.5067/EPIC/DSCOVR/L2_COMPOSITE_01
Language en-US
Metadata Type geospatial
Data Last Modified 2018-07-17
Program Code 026:001
Source Datajson Identifier True
Source Hash f1f56cbbb7a09ea3e3cf554b42ad87c53eff55f3
Source Schema Version 1.1
Spatial -180.0 -90.0 180.0 90.0
Temporal 2015-06-12T00:00:00Z/2017-12-31T23:59:59Z
Category DSCOVR, geospatial

Didn't find what you're looking for? Suggest a dataset here.