A pure marine aerosol model, for use in remote sensing applications

dc.contributor.authorSayer, Andrew
dc.contributor.authorSmirnov, A.
dc.contributor.authorHsu, N. C.
dc.contributor.authorHolben, B. N.
dc.date.accessioned2024-04-29T17:01:24Z
dc.date.available2024-04-29T17:01:24Z
dc.date.issued2012-03-15
dc.description.abstractRetrievals of aerosol optical depth (AOD) and related parameters from satellite measurements typically involve prescribed models of aerosol size and composition, and are therefore dependent on how well these models are able to represent the radiative behavior of real aerosols. This study uses aerosol volume size distributions retrieved from Sun-photometer measurements at 11 Aerosol Robotic Network (AERONET) island sites, spread throughout the world's oceans, as a basis to define such a model for pure (unpolluted) maritime aerosol. Volume size distributions are observed to be bimodal and approximately lognormal, although the coarse mode is skewed with a long tail on the low-radius end. The relationship of AOD and size distribution parameters to meteorological conditions is also examined. As wind speed increases, so do coarse-mode volume and radius. The AOD and Ångström exponent show linear relationships with wind speed, although with considerable scatter. Links between aerosol properties and near-surface relative humidity, columnar water vapor, and sea surface temperature are also explored. A recommended bimodal maritime model, which is able to reconstruct the AERONET AOD with accuracy of order 0.01–0.02, is presented for use in aerosol remote sensing applications. This accuracy holds at most sites and for wavelengths between 340 nm and 1020 nm. Calculated lidar ratios are also provided, and are in the range of other studies, although differ more strongly from those currently used in Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) processing.
dc.description.sponsorshipThis work was supported by a grant from the NASA MEaSUREs program, managed by M. Maiden. The authors would like to acknowledge Hal Maring for his support of the AERONET program. The AERONET (C. McClain, R. Frouin, J. Sciare, M. A. Lander, R. Wagener) and MAN (S. Piketh, R. Losno, J. Sciare, N. Nelson, K. Voss, R. Frouin, G. Milinevsky) PIs are thanked for the creation and maintenance of the Sun-photometer data sets. G. König-Langlo and the Alfred Wegener Institute for Polar and Marine Research are thanked for the meteorological data from RV Polarstern. NCEP data were obtained from the SeaWiFS Ocean Biology Processing Group data distribution service. The authors are grateful to A. Sinyuk for assistance in verification of the results of Mie computations, and S. Kinne and two anonymous reviewers for their comments and suggestions, which helped us to improve the manuscript.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2011JD016689
dc.format.extent25 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2wfix-tmok
dc.identifier.citationSayer, A. M., A. Smirnov, N. C. Hsu, and B. N. Holben. “A Pure Marine Aerosol Model, for Use in Remote Sensing Applications.” Journal of Geophysical Research: Atmospheres 117, no. D5 (2012). https://doi.org/10.1029/2011JD016689.
dc.identifier.urihttps://doi.org/10.1029/2011JD016689
dc.identifier.urihttp://hdl.handle.net/11603/33427
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.subjectlidar ratio
dc.subjectocean
dc.subjectremote sensing
dc.subjectsun photometer
dc.titleA pure marine aerosol model, for use in remote sensing applications
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

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