Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network

dc.contributor.authorKahn, Ralph A.
dc.contributor.authorGaitley, Barbara J.
dc.contributor.authorGaray, Michael J.
dc.contributor.authorDiner, David J.
dc.contributor.authorEck, Thomas
dc.contributor.authorSmirnov, Alexander
dc.contributor.authorHolben, Brent N.
dc.date.accessioned2024-04-29T17:01:58Z
dc.date.available2024-04-29T17:01:58Z
dc.date.issued2010-12-7
dc.description.abstractA statistical approach is used to assess the quality of the Multiangle Imaging SpectroRadiometer (MISR) version 22 (V22) aerosol products. Aerosol optical depth (AOD) retrieval results are improved relative to the early postlaunch values reported by [Kahn et al. (2005)], which varied with particle type category. Overall, about 70% to 75% of MISR AOD retrievals fall within 0.05 or 20% × AOD of the paired validation data from the Aerosol Robotic Network (AERONET), and about 50% to 55% are within 0.03 or 10% × AERONET AOD, except at sites where dust or mixed dust and smoke are commonly found. Retrieved particle microphysical properties amount to categorical values, such as three size groupings: “small,” “medium,” and “large.” For particle size, ground-based AERONET sun photometer Angstrom exponents are used to assess statistically the corresponding MISR values, which are interpreted in terms of retrieved size categories. Coincident single-scattering albedo (SSA) and fraction AOD spherical data are too limited for statistical validation. V22 distinguishes two or three size bins, depending on aerosol type, and about two bins in SSA (absorbing vs. nonabsorbing), as well as spherical vs. nonspherical particles, under good retrieval conditions. Particle type sensitivity varies considerably with conditions and is diminished for midvisible AODs below about 0.15 or 0.2. On the basis of these results, specific algorithm upgrades are proposed and are being investigated by the MISR team for possible implementation in future versions of the product.
dc.description.sponsorshipWe thank our colleagues on the Jet Propulsion Laboratory’s MISR instrument team and at the NASA Langley Research Center’s Atmospheric Sciences Data Center for their roles in producing the MISR data sets and Susan Paradise for contributions to Figure 4 and related discussion of over?water retrievals. We also thank the AERONET principal investigators for contributing to the global aerosol database, as well as Lorraine Remer and two anonymous reviewers for helpful comments on the manuscript. The work of R. Kahn is supported in part by NASA’s Climate and Radiation Research and Analysis Program, under H. Maring, NASA’s Atmospheric Composition Program, and the EOS?MISR project
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2010JD014601
dc.format.extent28 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2rnwr-yb2c
dc.identifier.citationKahn, Ralph A., Barbara J. Gaitley, Michael J. Garay, David J. Diner, Thomas F. Eck, Alexander Smirnov, and Brent N. Holben. “Multiangle Imaging SpectroRadiometer Global Aerosol Product Assessment by Comparison with the Aerosol Robotic Network.” Journal of Geophysical Research: Atmospheres 115, no. D23 (2010). https://doi.org/10.1029/2010JD014601.
dc.identifier.urihttps://doi.org/10.1029/2010JD014601
dc.identifier.urihttp://hdl.handle.net/11603/33484
dc.language.isoen_US
dc.publisherAGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
dc.relation.ispartofUMBC Faculty 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 works under U.S. Law.
dc.rightsPublic Domain
dc.rights.urihttps://creativecommons.org/publicdomain/mark/1.0/
dc.subjectaerosol remote sensing
dc.subjectMISR
dc.subjectmulti-angle imaging
dc.titleMultiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9801-1610

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