Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the “Deep Blue” Aerosol Project

Simple item page
dc.contributor.authorSayer, Andrew
dc.contributor.authorHsu, N. C.
dc.contributor.authorLee, J.
dc.contributor.authorBettenhausen, C.
dc.contributor.authorKim, W. V.
dc.contributor.authorSmirnov, A.
dc.date.accessioned2024-04-29T17:00:57Z
dc.date.available2024-04-29T17:00:57Z
dc.date.issued2017-11-17
dc.description.abstractThe Suomi National Polar-Orbiting Partnership (S-NPP) satellite, launched in late 2011, carries the Visible Infrared Imaging Radiometer Suite (VIIRS) and several other instruments. VIIRS has similar characteristics to prior satellite sensors used for aerosol optical depth (AOD) retrieval, allowing the continuation of space-based aerosol data records. The Deep Blue algorithm has previously been applied to retrieve AOD from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land. The SeaWiFS Deep Blue data set also included a SeaWiFS Ocean Aerosol Retrieval (SOAR) algorithm to cover water surfaces. As part of NASA's VIIRS data processing, Deep Blue is being applied to VIIRS data over land, and SOAR has been adapted from SeaWiFS to VIIRS for use over water surfaces. This study describes SOAR as applied in version 1 of NASA's S-NPP VIIRS Deep Blue data product suite. Several advances have been made since the SeaWiFS application, as well as changes to make use of the broader spectral range of VIIRS. A preliminary validation against Maritime Aerosol Network (MAN) measurements suggests a typical uncertainty on retrieved 550 nm AOD of order ±(0.03+10%), comparable to existing SeaWiFS/MODIS aerosol data products. Retrieved Ångström exponent and fine-mode AOD fraction are also well correlated with MAN data, with small biases and uncertainty similar to or better than SeaWiFS/MODIS products.
dc.description.sponsorshipFurther information about Deep Blue is available at https://deepblue.gsfc.nasa.gov. This research was funded under the Suomi NPP program. The MAN cruise PIs (A. Baker, S. Bilanger, R. Brewin, S. Broccardo, Y. Courcoux, P. Disterhoft, F. Dulac, R. Dunn, H. Evangelista, H. Findlay, R. Frouin, J. I. Goes, M. Harvey, M. Heller, B. N. Holben, L. Istomina, E. Joseph, P. Kermen, S. Kinne, I. Koren, N. Lagrosas, W. Landing, E. Lewis, H. S. Lim, E. Lobecker, A. Mannino, L. McKenna, N. Nalli, N. Nelson, M. Ondrusek, N. Pahlevan, P. Quinn, V. Radionov, J. S. Reid, C. Roman, J. Sciare, A. Skarke, V. Slabakova, T. Smyth, D. Sowers, M. Tzortziou, G. Stenchikov, L. Yurganov, G. Zibordi, Yanto, and T. Zielinski) are thanked for the creation and stewardship of the Sun photometer data records. AERONET and MAN data are available from https//aeronet.gsfc.nasa.gov. The GEOS-5 data used in this study have been provided by the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center (https://gmao.gsfc.nasa.gov). NOAA VIIRS aerosol data were obtained from https://www.star.nesdis.noaa.gov/smcd/emb/viirs_aerosol. D. Antoine (Curtin), B. A. Franz (NASA GSFC), Z. Lee (University of Massachusetts Boston), and A. Vasilkov (SSAI) are thanked for useful discussions about the current status of measurements of the optical properties of seawater and bidirectional aspects of remote sensing reflectance and R. Spurr (RT Solutions) for additional development of the VLIDORT RT code and interface. Data processing was facilitated by use of the GNU Parallel utility by Tange (2011). The Atmospheres SIPS at the University of Wisconsin (particularly S. Dutcher) are acknowledged for data hosting and provision and assistance with computational resources. Prior to the public release of the VIIRS Deep Blue aerosol products, example demonstration data are available from the authors upon request. Three anonymous reviewers are thanked for their comments, which helped to improve the clarity of this manuscript and spurred the inclusion of some additional analyses.
dc.description.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/2017JD027412
dc.format.extent21 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2hefm-2pck
dc.identifier.citationSayer, A. M., N. C. Hsu, J. Lee, C. Bettenhausen, W. V. Kim, and A. Smirnov. “Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the ‘Deep Blue’ Aerosol Project.” Journal of Geophysical Research: Atmospheres 123, no. 1 (2018): 380–400. https://doi.org/10.1002/2017JD027412.
dc.identifier.urihttps://doi.org/10.1002/2017JD027412
dc.identifier.urihttp://hdl.handle.net/11603/33383
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.subjectDeep Blue
dc.subjectocean
dc.subjectretrieval
dc.subjectSOAR
dc.subjectVIIRS
dc.titleSatellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the “Deep Blue” Aerosol Project
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0001-9149-1789

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
JGRAtmospheres2017SayerSatelliteOceanAerosolRetrievalSOARAlgorithmExtensiontoSNPPVIIRSasPartofthe.pdf
Size:
5.16 MB
Format:
Adobe Portable Document Format
Download

Collections

UMBC GESTAR II