globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027412
Scopus记录号: 2-s2.0-85041049836
论文题名:
Satellite Ocean Aerosol Retrieval (SOAR) Algorithm Extension to S-NPP VIIRS as Part of the “Deep Blue” Aerosol Project
作者: Sayer A.M.; Hsu N.C.; Lee J.; Bettenhausen C.; Kim W.V.; Smirnov A.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:1
起始页码: 380
结束页码: 400
语种: 英语
英文关键词: aerosol ; Deep Blue ; ocean ; retrieval ; SOAR ; VIIRS
Scopus关键词: aerosol ; algorithm ; data processing ; data set ; MODIS ; ocean color ; optical depth ; research program ; satellite sensor ; SeaWiFS ; Suomi NPP ; VIIRS
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 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. ©2017. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114719
Appears in Collections:气候减缓与适应

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作者单位: Goddard Earth Sciences Technology and Research, Universities Space Research Association, Columbia, MD, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth Systems Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; ADNET Systems Inc., Bethesda, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States

Recommended Citation:
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,2018-01-01,123(1)
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