SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets

dc.contributor.authorSayer, Andrew
dc.contributor.authorHsu, N. C.
dc.contributor.authorBettenhausen, C.
dc.contributor.authorAhmad, Z.
dc.contributor.authorHolben, B. N.
dc.contributor.authorSmirnov, A.
dc.contributor.authorThomas, G. E.
dc.contributor.authorZhang, J.
dc.date.accessioned2024-04-29T17:01:22Z
dc.date.available2024-04-29T17:01:22Z
dc.date.issued2012-02-15
dc.description.abstractThe Sea-viewing Wide Field-of-view Sensor (SeaWiFS) provides a well-calibrated 13-year (1997–2010) record of top-of-atmosphere radiance, suitable for use in retrieval of atmospheric aerosol optical depth (AOD). This paper presents and validates a SeaWiFS Ocean Aerosol Retrieval (SOAR) algorithm, which retrieves the AOD at 550 nm and the partition of aerosol particle volume between fine and coarse modes. The algorithm has been applied over water to the whole SeaWiFS record. The data set includes quality flags to identify those retrievals suitable for quantitative use. SOAR has been validated against Aerosol Robotic Network (AERONET) and Maritime Aerosol Network (MAN) data and found to compare well (correlation 0.86 at 550 nm and 0.88 at 870 nm for AERONET, and 0.87 at 550 nm and 0.85 at 870 nm for MAN, using recommended quality control settings). These comparisons are used to identify the typical level of uncertainty on the AOD, estimated as 0.03 + 15% at 550 nm and 0.03 + 10% at 870 nm. The data set also includes the Ångström exponent, although as expected this is noisy for low aerosol loadings (correlation 0.50; 0.78 for points where the AOD at 550 nm is 0.3 or more). Retrieved AOD is compared with colocated observations from other satellite sensors; regional and seasonal patterns are found to be common between all data sets, and differences generally linked to factors such as cloud screening and retrieval assumptions.
dc.description.sponsorshipThis work was supported by a grant from the NASA MEaSUREs program, managed by Martha Maiden. SeaWiFS level 1a data, the SeaDAS software, and NCEP meteorological fields were obtained from the SeaWiFS Ocean Biology Processing Group data distribution service. GlobAerosol was an ESA Data User Element project. The Naval Research Laboratory are thanked for the DA-MODIS data. MODIS data were obtained from the NASA LAADS, and MISR from the NASA Langley ASDC. The AERONET and MAN PIs are thanked for the creation and maintenance of the Sun photometer data records. The authors thank M. Chin, T. Diehl, R. A. Kahn, R. C. Levy, S. Mattoo, L. A. Remer, and Q. Tan for helpful discussions and comments on the manuscript. The authors acknowledge the detailed and constructive comments of three anonymous reviewers, whose suggestions strengthened the manuscript.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2011JD016599
dc.format.extent17 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2cyvr-wgk8
dc.identifier.citationSayer, A. M., N. C. Hsu, C. Bettenhausen, Z. Ahmad, B. N. Holben, A. Smirnov, G. E. Thomas, and J. Zhang. “SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, Validation, and Comparison with Other Data Sets.” Journal of Geophysical Research: Atmospheres 117, no. D3 (2012). https://doi.org/10.1029/2011JD016599.
dc.identifier.urihttps://doi.org/10.1029/2011JD016599
dc.identifier.urihttp://hdl.handle.net/11603/33425
dc.language.isoen_US
dc.publisherAGU
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II
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.subjectAERONET
dc.subjectaerosol
dc.subjectocean
dc.subjectremote sensing
dc.subjectretrieval
dc.subjectSeaWiFS
dc.titleSeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

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