Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

DSCOVR EPIC Aerosol Optical Centroid Height

Metadata Updated: December 6, 2023

DSCOVR_EPIC_L2_AOCH_01 is the aerosol optical centroid height (AOCH) product for global smoke and dust aerosols retrieved from oxygen A-band (764 nm) and B-band (688 nm) measured by Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) satellite. The ultraviolet aerosol index (UVAI) is also retrieved using EPIC 340 and 388 nm channels. The retrieval algorithm assumes a quasi-Gaussian aerosol vertical profile shape and retrieves AOD and the height at which the aerosol extinction peaks (e.g., AOCH). Cloud mask is conducted through the spatial variability tests at 443 and 551 nm, as well as the brightness tests with the prescribed threshold of TOA reflectance at 443 and 680 nm for land and 443, 680 and 780 nm over water. The water pixels with a sun glint angle smaller than 30 are screened out. AOD is then retrieved from EPIC atmospheric window channel 443 nm, and the AOCH is derived subsequently based on the ratios of oxygen A and B bands to their corresponding neighboring continuum bands (764/780 nm and 688/680 nm). The surface reflectance for water surface comes from GOME-2 Lambert-equivalent reflectivity (LER) product. A 10-year climatology of Lambertian surface reflectance from MODIS BRDF/Albedo product (MCD43) is applied for retrievals over the land surface. The aerosol types around the globe are classified based on their sources at different regions and their corresponding aerosol single scattering properties are defined based on AERONET climatology for each region. The retrieval algorithm is based upon the lookup table constructed by the Unified and Linearized Vector Radiative Transfer Model (UNL-VRTM).

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

Dates

Metadata Created Date May 30, 2023
Metadata Updated Date December 6, 2023

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date May 30, 2023
Metadata Updated Date December 6, 2023
Publisher NASA/LARC/SD/ASDC
Maintainer
Identifier C2501666124-LARC_ASDC
Data First Published 2017-06-13
Language en-US
Data Last Modified 2017-06-13
Category DSCOVR, geospatial
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 2018-01-25. Archived by National Aeronautics and Space Administration, U.S. Government, NASA/LARC/SD/ASDC. https://doi.org/10.5067/EPIC/DSCOVR/L2_AOCH.001.
Harvest Object Id a9619b0e-480e-4bbd-b934-4b0fcf2c1c23
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/EPIC/DSCOVR/L2_AOCH.001
Metadata Type geospatial
Old Spatial <?xml version="1.0" encoding="UTF-8"?><gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2" srsName="EPSG:9825"><gml:outerBoundaryIs><gml:LinearRing><gml:posList>-90.0 -180.0 -90.0 180.0 90.0 180.0 90.0 -180.0 -90.0 -180.0</gml:posList></gml:LinearRing></gml:outerBoundaryIs><gml:innerBoundaryIs></gml:innerBoundaryIs></gml:Polygon>
Program Code 026:001
Source Datajson Identifier True
Source Hash e726b6a54aa0a8e22de3a5e445e200ae5d8ea3b58431c292ec2998dfc297d698
Source Schema Version 1.1
Spatial
Temporal 2015-06-13T00:00:00Z/2023-03-01T00:00:00Z

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