Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm

dc.contributor.authorLyapustin, A.
dc.contributor.authorWang, Y.
dc.contributor.authorGo, Sujung
dc.contributor.authorChoi, Myungje
dc.contributor.authorKorkin, Sergey
dc.contributor.authorHuang, D.
dc.contributor.authorKnyazikhin, Y.
dc.contributor.authorBlank, K.
dc.contributor.authorMarshak, A.
dc.date.accessioned2023-07-20T18:44:01Z
dc.date.available2023-07-20T18:44:01Z
dc.date.issued2021-09-20
dc.description.abstractThe Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) provides multispectral images of the sunlit disk of Earth since 2015 from the L1 orbit, approximately 1.5 million km from Earth toward the Sun. The NASA’s Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm has been adapted for DSCOVR/EPIC data providing operational processing since 2018. Here, we describe the latest version 2 (v2) MAIAC EPIC algorithm over land that features improved aerosol retrieval with updated regional aerosol models and new atmospheric correction scheme based on the ancillary bidirectional reflectance distribution function (BRDF) model of the Earth from MAIAC MODIS. The global validation of MAIAC EPIC aerosol optical depth (AOD) with AERONET measurements shows a significant improvement over v1 and the mean bias error MBE = 0.046, RMSE = 0.159, and R = 0.77. Over 66.7% of EPIC AOD retrievals agree with the AERONET AOD to within ± (0.1 + 0.1AOD). We also analyze the role of surface anisotropy, particularly important for the backscattering view geometry of EPIC, on the result of atmospheric correction. The retrieved BRDF-based bidirectional reflectance factors (BRF) are found higher than the Lambertian reflectance by 8–15% at 443 nm and 1–2% at 780 nm for EPIC observations near the local noon. Due to higher uncertainties, the atmospheric correction at UV wavelengths of 340, 388 nm is currently performed using a Lambertian approximation.en
dc.description.sponsorshipThis work was funded by the NASA DSCOVR program (manager R. Eckman). We are grateful to the AERONET team for providing validation data and to the NASA Center for Climate Simulations used for the EPIC data processing.en
dc.description.urihttps://www.frontiersin.org/articles/10.3389/frsen.2021.748362/fullen
dc.format.extent10 pagesen
dc.genrejournal articlesen
dc.identifierdoi:10.13016/m2lwfb-p5hz
dc.identifier.citationLyapustin A, Wang Y, Go S, Choi M, Korkin S, Huang D, Knyazikhin Y, Blank K and Marshak A (2021) Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm. Front. Remote Sens. 2:748362. doi: 10.3389/frsen.2021.748362en
dc.identifier.urihttps://doi.org/10.3389/frsen.2021.748362
dc.identifier.urihttp://hdl.handle.net/11603/28811
dc.language.isoenen
dc.publisherFrontiersen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Joint Center for Earth Systems Technology
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC GESTAR II
dc.rightsPublic Domain Mark 1.0*
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
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleAtmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithmen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0002-0223-309Xen
dcterms.creatorhttps://orcid.org/0000-0002-2488-2840en
dcterms.creatorhttps://orcid.org/0000-0003-4690-3232en

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