Dust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Model

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dc.contributor.authorZhou, Yaping
dc.contributor.authorC. Levy, Robert
dc.contributor.authorRemer, Lorraine
dc.contributor.authorMattoo, Shana
dc.contributor.authorEspinosa, W. Reed
dc.date.accessioned2022-02-16T16:57:19Z
dc.date.available2022-02-16T16:57:19Z
dc.date.issued2020-10-06
dc.description.abstractThe Dark-target (DT) aerosol algorithm retrieves spectral Aerosol Optical Depth (AOD) and other aerosol properties from Moderate-resolution Imaging Spectrometer (MODIS) reflectance observations. Over the ocean, the DT algorithm is known to contain scattering-angle-dependent biases in its retrievals of AOD, Angstrom Exponent (AE), and Fine Mode Fraction (FMF) for dust aerosols. Following a two-step strategy to improve the DT retrieval of dust over ocean, for which the first step is to identify dusty pixels (reported in “Part 1”), in this “Part 2,” we report on construction of a new dust model lookup table (LUT) and the strategy for applying it within the existing DT algorithm. In particular, we evaluate different characterizations of dust optical properties from a variety of frameworks and databases, and compare them with the current DT retrieval assumptions. Substituting the standard operational LUT with a spheroid dust model with identified dusty pixels shows significant improvement when compared with collocated AERONET-identified dusty pixels. Specifically, the application of the new dust model to dusty pixels reduces their AOD bias from 0.06 to 0.02 while improving the fraction of retrievals within expected error from 64% to 82%. At the same time, the overall bias in AE is reduced from 0.13 to 0.06, and the scattering-angle-dependent AE bias is largely eliminated. In testing on two full months of data (April and July), the new retrieval will reduce the monthly mean AOD by up to 0.1 and 0.2 in the north Atlantic and Arabian seas, respectively. The average AE and FMF are also reduced in these dust heavy regions.en_US
dc.description.sponsorshipThis work is supported by NASANNH13ZDA001NTERAQEA, DSCOVREarth Science Algorithms managed byRichard Eckman. We would like tothank Professor Ping Yang forproviding the Texas A&M scatteringdatabase, Peter Colarco at GSFC for acode to read and integrate the database,and Jiacheng Ding from Texas A&M formany discussions regarding thedatabase. W. Reed Espinosa'sparticipation in this research waspartially supported by an appointmentto the NASA Postdoctoral Program atthe NASA Goddard Space FlightCenter, administered by UniversitiesSpace Research Association through acontract with NASA.en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020EA001222en_US
dc.format.extent21 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2qbl5-zjij
dc.identifier.citationZhou, Y., Levy, R. C., Remer, L. A., Mattoo, S., & Espinosa, W. R. (2020). Dust aerosol retrieval over the oceans with the MODIS/VIIRS dark target algorithm: 2. Nonspherical dust model. Earth and Space Science, 7, e2020EA001222. https://doi.org/ 10.1029/2020EA001222en_US
dc.identifier.urihttps://doi.org/10.1029/2020EA001221
dc.identifier.urihttp://hdl.handle.net/11603/24288
dc.language.isoen_USen_US
dc.publisherAGUen_US
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 Physics Collection
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 woen_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleDust Aerosol Retrieval Over the Oceans With the MODIS/VIIRS Dark Target Algorithm: 2. Nonspherical Dust Modelen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7812-851Xen_US
dcterms.creatorhttps://orcid.org/0000-0003-4333-533Xen_US

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