DSCOVR Level 2
Entry Title: EPIC-view satellite composites for DSCOVR, Version 1

Entry ID: DSCOVR_EPIC_L2_COMPOSITE_01
Clouds Radiation Budget
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. Based on the Ceres cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). 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 Earth Polychromatic Imaging Camera (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 Field of View (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 radiances and cloud properties averages 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).

DOI

10.5067/EPIC/DSCOVR/L2_COMPOSITE_01

Citation Styles for this Dataset
Publications which Cite this Collection

Gu, Lixiang; Zeng, Zhao-Cheng; Fan, Siteng; Natraj, Vijay; Jiang, Jonathan H.; Crisp, David; Yung, Yuk L.; Hu, Yongyun (2020). Earth as a Proxy Exoplanet: Simulating DSCOVR/EPIC Observations Using the Earth Spectrum Simulator.


Gu, Lixiang; Fan, Siteng; Li, Jiazheng; Bartlett, Stuart J.; Natraj, Vijay; Jiang, Jonathan H.; Crisp, David; Hu, Yongyun; Tinetti, Giovanna; Yung, Yuk L. (2018). Earth as a Proxy Exoplanet: Deconstructing and Reconstructing Spectrophotometric Light Curves.


Resources and Documentation

Earthdata Forum

GOTO WEB TOOL

DSCOVR EPIC Visualization Tool

VIEW RELATED INFORMATION
Keywords

From GCMD Science Keywords:
  • CLOUD OPTICAL DEPTH/THICKNESS > CLOUD MICROPHYSICS
  • CLOUD PROPERTIES
  • CLOUD TOP HEIGHT > CLOUD PROPERTIES
  • ALBEDO
  • SHORTWAVE RADIATION
  • CLOUD HEIGHT > CLOUD PROPERTIES
  • ATMOSPHERIC RADIATION
  • CLOUD MICROPHYSICS
  • CLOUDS
  • LONGWAVE RADIATION
  • CLOUD DROPLET CONCENTRATION/SIZE > CLOUD MICROPHYSICS
  • Cloud Droplet Concentration
  • Cloud Droplet Size
  • Cloud Optical Depth
  • Cloud Optical Thickness
  • Longwave (LW) Radiation
  • OLR (Outgoing Longwave Radiation)
  • Shortwave (SW) Radiation
Data Distribution

File Format(s):

NetCDF-4

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Spatial Information

spatial-coverage-map
Spatial Coverage: (S: -90, N: 90), (W: -180, E: 180)
Spatial Coverage Type: Not provided
Coordinate System: Cartesian
Granule Spatial Representation: Cartesian
Locations

GLOBAL
Temporal Information

Temporal Coverage: 2015-06-12 - 2017-12-31
Platforms

Earth Observation Satellites
Aqua
Earth Observing System, Aqua
MODIS
Moderate-Resolution Imaging Spectroradiometer
GOES
NOAA Geostationary Operational Environmental Satellites
GOES N-P Imager
MTSAT
Multi-functional Transport Satellite
MTSAT 2 Imager
Terra
Earth Observing System, Terra (AM-1)
MODIS
Moderate-Resolution Imaging Spectroradiometer
METEOSAT
Meteosat Operational Programme
MVIRI
Meteosat Visible Infra-Red Imager
NOAA POES
NOAA Polar Orbiting Environmental Satellites
AVHRR
Advanced Very High Resolution Radiometer
Solar/Space Observation Satellites
DSCOVR
Deep Space Climate Observatory
EPIC
Energetic Particle and Ion Composition (Geotail)
Metadata Dates

Created on 2017-08-31
Last updated on 2023-08-16