Validation of SOAR VIIRS Over-Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record

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dc.contributor.authorSayer, Andrew
dc.contributor.authorHsu, N. Christina
dc.contributor.authorLee, Jaehwa
dc.contributor.authorKim, Woogyung V.
dc.contributor.authorDubovik, Oleg
dc.contributor.authorDutcher, Steven T.
dc.contributor.authorHuang, Dong
dc.contributor.authorLitvinov, Pavel
dc.contributor.authorLyapustin, Alexei
dc.contributor.authorTackett, Jason L.
dc.contributor.authorWinker, David M.
dc.date.accessioned2024-04-29T17:00:58Z
dc.date.available2024-04-29T17:00:58Z
dc.date.issued2018-11-20
dc.description.abstractThis study validates aerosol properties retrieved using a Satellite Ocean Aerosol Retrieval (SOAR) algorithm applied to Visible Infrared Imaging Radiometer Suite (VIIRS) measurements, from Version 1 of the VIIRS Deep Blue data set. SOAR is the over-water complement to the over-land Deep Blue algorithm and has two processing paths: globally, 95% of pixels are processed with the full retrieval algorithm, while the 5% of pixels in shallow or turbid (mostly coastal) waters are processed with a backup algorithm. Aerosol Robotic Network (AERONET) data are used to validate and compare the midvisible (550 nm) aerosol optical depth (AOD), Ångström exponent (AE), and fine mode fraction of AOD at 550 nm (FMF). AOD uncertainty is shown to be approximately ±(0.03 + 10%) for the full and ±(0.03 + 15%) for the backup algorithms, with a small positive median bias around 0.02. When AOD is below about 0.2, the AE and FMF have small negative offsets from AERONET around -0.15 and -0.04, respectively. For higher AOD, AE is less offset and the magnitudes of differences versus AERONET are about ±0.2 and ±0.14, respectively. Aerosol-type classifications provided by SOAR are found to be reasonable, matching optical-based classifications from AERONET over 80% of the time. Spatial and temporal patterns of AOD and AE are also compared with those of other contemporary over-water satellite aerosol data sets; dependent on region, the satellite data sets show varying levels of consistency, with SOAR broadly in-family, and the largest discrepancies in regions with persistent heavy cloud cover.
dc.description.sponsorshipMore information about the Deep Blue aerosol project, including further documentation and links, can be found at https://deepblue.gsfc.nasa.gov. This research was funded by NASA's radiation science programme, managed by Hal Maring. The Atmosphere SIPS at the University of Wisconsin are thanked for VIIRS data processing. Work at the Atmosphere SIPS is being performed for NASA under contract NNG15HZ38C. AERONET data are available from https://aeronet.gsfc.nasa.gov; the AERONET team and site Principal Investigators and managers are thanked for the creation and maintenance of the AERONET data record, which is central to the continued assessment of remotely sensed and modeled aerosol data. MODIS and VIIRS data are available from the NASA LAADS at https://ladsweb.nascom.nasa.gov. CALIOP and MISR data are available from the NASA Langley Research Center Atmospheric Science Data Center at https://eosweb.larc.nasa.gov; B. Getzewich, K. Beaumont, and T. Murray (NASA LaRC/SSAI) are thanked for assistance with the special CALIOP processing. The GRASP code and POLDER data are available from https://www.grasp-open.com. EPIC MAIAC data are available on request to A. Lyapustin (NASA GSFC). All data servers are acknowledged for the hosting of these data sets and supporting documentation. The authors thank M. J. Garay (JPL), R. A. Kahn (NASA GSFC), O. Kalashnikova (JPL), R. C. Levy (NASA GSFC), V. Sawyer (NASA GSFC/SSAI), Y. Shi (NASA GSFC/USRA), and attendees at NASA's AeroCenter seminar series for useful discussions about the different satellite AOD products and time series. We thanks three anonymous reviewers for their comments and suggestions about this manuscript. The authors declare no conflicts of interest.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1029/2018JD029465
dc.format.extent31 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m21qad-eane
dc.identifier.citationSayer, Andrew M., N. Christina Hsu, Jaehwa Lee, Woogyung V. Kim, Oleg Dubovik, Steven T. Dutcher, Dong Huang, et al. “Validation of SOAR VIIRS Over-Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record.” Journal of Geophysical Research: Atmospheres 123, no. 23 (2018): 13,496-13,526. https://doi.org/10.1029/2018JD029465.
dc.identifier.urihttps://doi.org/10.1029/2018JD029465
dc.identifier.urihttp://hdl.handle.net/11603/33384
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.subjectaerosol
dc.subjectremote sensing
dc.subjectvalidation
dc.subjectVIIRS
dc.subjectwater
dc.titleValidation of SOAR VIIRS Over-Water Aerosol Retrievals and Context Within the Global Satellite Aerosol Data Record
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

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