Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation

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dc.contributor.authorYang, Yuekui
dc.contributor.authorMeyer, Kerry
dc.contributor.authorWind, Galina
dc.contributor.authorZhou, Yaping
dc.contributor.authorMarshak, Alexander
dc.contributor.authorPlatnick, Steven
dc.contributor.authorMin, Qilong
dc.contributor.authorDavis, Anthony B.
dc.contributor.authorJoiner, Joanna
dc.contributor.authorVasilkov, Alexander
dc.contributor.authorDuda, David
dc.contributor.authorSu, Wenying
dc.date.accessioned2022-07-06T21:19:10Z
dc.date.available2022-07-06T21:19:10Z
dc.date.issued2019-03-29
dc.description.abstractThis paper presents the physical basis of the Earth Polychromatic Imaging Camera (EPIC) cloud product algorithms and an initial evaluation of their performance. Since June 2015, EPIC has been providing observations of the sunlit side of the Earth with its 10 spectral channels ranging from the UV to the near-infrared. A suite of algorithms has been developed to generate the standard EPIC Level 2 cloud products that include cloud mask, cloud effective pressure/height, and cloud optical thickness. The EPIC cloud mask adopts the threshold method and utilizes multichannel observations and ratios as tests. Cloud effective pressure/height is derived with observations from the O2 A-band (780 and 764 nm) and B-band (680 and 688 nm) pairs. The EPIC cloud optical thickness retrieval adopts a single-channel approach in which the 780 and 680 nm channels are used for retrievals over ocean and over land, respectively. Comparison with co-located cloud retrievals from geosynchronous earth orbit (GEO) and low earth orbit (LEO) satellites shows that the EPIC cloud product algorithms are performing well and are consistent with theoretical expectations. These products are publicly available at the Atmospheric Science Data Center at the NASA Langley Research Center for climate studies and for generating other geophysical products that require cloud properties as input.en_US
dc.description.sponsorshipThe authors thank the two anonymous reviewers and Diego Loyola for reviewing this paper and for their insightful comments. This research was supported by the NASA DSCOVR Earth Science Algorithms program managed by Richard Eckman. The authors also thank Alexander Cede, Karin Blank, and Alexei Lyapustin for helpful discussions.en_US
dc.description.urihttps://amt.copernicus.org/articles/12/2019/2019/en_US
dc.format.extent13 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2thag-1clp
dc.identifier.citationYang, Y., Meyer, K., Wind, G., Zhou, Y., Marshak, A., Platnick, S., Min, Q., Davis, A. B., Joiner, J., Vasilkov, A., Duda, D., and Su, W.: Cloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluation, Atmos. Meas. Tech., 12, 2019–2031, https://doi.org/10.5194/amt-12-2019-2019, 2019.en_US
dc.identifier.urihttps://doi.org/10.5194/amt-12-2019-2019
dc.identifier.urihttp://hdl.handle.net/11603/25090
dc.language.isoen_USen_US
dc.publisherEGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleCloud products from the Earth Polychromatic Imaging Camera (EPIC): algorithms and initial evaluationen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7812-851Xen_US

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