GSTDTAP  > 气候变化
DOI10.1002/2017JD027412
Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the "Deep Blue" Aerosol Project
Sayer, A. M.1,2; Hsu, N. C.2; Lee, J.2,3; Bettenhausen, C.2,4; Kim, W. V.2,3; Smirnov, A.2,5
2018-01-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:1页码:380-400
文章类型Article
语种英语
国家USA
英文摘要

The 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 Angstrom 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.


Plain Language Summary Aerosols are small particles in the atmosphere like desert dust, volcanic ash, smoke, industrial haze, and sea spray. Understanding them is important for applications such as hazard avoidance, air quality and human health, and climate studies. Satellite instruments provide an important tool to study aerosol loading over the world. However, individual satellites do not last forever and newer satellites often have improved capabilities compared to older ones. This paper describes and evaluates an extension of an algorithm, originally designed to monitor aerosols from an older satellite instrument, to a new satellite instrument called VIIRS.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000423433500022
WOS关键词OPTICAL DEPTH RETRIEVALS ; TROPOSPHERIC AEROSOLS ; ANGSTROM EXPONENT ; LAND ; REFLECTANCE ; THICKNESS ; MODELS ; VALIDATION ; NETWORK ; AERONET
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/32175
专题气候变化
作者单位1.Univ Space Res Assoc, Goddard Earth Sci Technol & Res, Columbia, MD 21046 USA;
2.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA;
4.ADNET Syst Inc, Bethesda, MD USA;
5.Sci Syst & Applicat Inc, Lanham, MD USA
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Sayer, A. M.,Hsu, N. C.,Lee, J.,et al. Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the "Deep Blue" Aerosol Project[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(1):380-400.
APA Sayer, A. M.,Hsu, N. C.,Lee, J.,Bettenhausen, C.,Kim, W. V.,&Smirnov, A..(2018).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(1),380-400.
MLA Sayer, A. M.,et al."Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the "Deep Blue" Aerosol Project".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.1(2018):380-400.
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