globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2013JD020449
论文题名:
Suomi-NPP VIIRS aerosol algorithms and data products
作者: Jackson J.M.; Liu H.; Laszlo I.; Kondragunta S.; Remer L.A.; Huang J.; Huang H.-C.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期:22
起始页码: 12673
结束页码: 12689
语种: 英语
英文关键词: aerosol data products ; aerosol retrieval algorithms ; Suomi-NPP VIIRS
Scopus关键词: Algorithms ; Infrared imaging ; Radiometers ; Aerosol optical thickness ; Aerosol retrieval algorithms ; Aerosol robotic networks ; Data products ; Environmental data records ; Ground-based observations ; Suomi-NPP VIIRS ; Visible infrared imaging radiometer suites ; Aerosols ; aerosol property ; algorithm ; calibration ; data set ; ground-based measurement ; MODIS ; radiometer ; satellite imagery ; spacecraft
英文摘要: The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument on board the Suomi National Polar-orbiting Partnership (S-NPP) spacecraft was launched in October 2011. The instrument has 22 spectral channels with band centers from 412 nm to 12,050 nm. The VIIRS aerosol data products are derived primarily from the radiometric channels covering the visible through the short-wave infrared spectral regions (412 nm to 2250 nm). The major components of the VIIRS aerosol retrieval process are data screening, land inversion, ocean inversion, suspended matter typing, and aggregation. The primary data product produced is the aerosol optical thickness (AOT) environmental data record. A higher resolution AOT intermediate product is also produced. These AOT products and their corresponding retrieval algorithms are described in detail, including theoretical basis, retrieval limitations, and data quality flagging. Preliminary evaluation of the data products has been undertaken by the VIIRS aerosol calibration/validation team using Aerosol Robotic Network ground-based observations to show that the performance of AOT retrievals meets the requirements specified in the Joint Polar Satellite System Level 1 requirements. Key Points VIIRS aerosol retrieval algorithms are described in detail VIIRS aerosol is based on MODIS heritage VIIRS aerosol data products are available for evaluation ©2013. 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/63133
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

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作者单位: Northrop Grumman Aerospace Systems, One Space Park, Redondo Beach, CA 90278, United States; I. M. Systems Group Inc., College Park, MD, United States; Center for Satellite Applications and Research, National Environmental Satellite, Data and Information Service, National Oceanic and Atmospheric Administration, College Park, MD, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States; Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States

Recommended Citation:
Jackson J.M.,Liu H.,Laszlo I.,et al. Suomi-NPP VIIRS aerosol algorithms and data products[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(22)
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