globalchange  > 影响、适应和脆弱性
DOI: 10.1002/jgrd.50278
论文题名:
A global survey of the effect of cloud contamination on the aerosol optical thickness and its long-term trend derived from operational AVHRR satellite observations
作者: Zhao T.X.-P.; Chan P.K.; Heidinger A.K.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期:7
起始页码: 2849
结束页码: 2857
语种: 英语
Scopus关键词: Advanced very high resolution radiometers (AVHRR) ; Contamination ; Reflection ; Aerosol optical thickness ; Aerosol remote sensing ; Aerosol retrieval algorithms ; Climate data records ; Cloud contamination ; Passive satellites ; Satellite observations ; Surface disturbances ; Aerosols ; aerosol property ; algorithm ; AVHRR ; calibration ; clear sky ; data set ; error analysis ; global ocean ; marine atmosphere ; NOAA satellite ; optical depth ; pixel ; radiometer ; satellite imagery ; trend analysis
英文摘要: Subpixel cloud contamination is one of the major issues plaguing passive satellite aerosol remote sensing. Its impact on the aerosol optical thickness (AOT) retrieval has been analyzed/evaluated by many studies. However, the question of how it influences the AOT trend remains to be answered. In this paper, four long-term advanced very high resolution radiometer (AVHRR) AOT data sets from 1981 to 2009 over global oceans for four different definitions of clear sky, respectively, are produced by applying a two-channel aerosol retrieval algorithm to the AVHRR clear-sky reflectances derived by combining NOAA Pathfinder Atmosphere's Extended AVHRR climate data record level-2b all-sky reflectances with the cloud probability parameter determined from the Bayesian probabilistic cloud detection technique. A global analysis of the effect of cloud contamination on the AVHRR AOT retrieval as well as on its long-term trend is then performed by comparing the results from the four data sets. It was found that cloud contamination imposes not only a positive bias on AOT values but also a positive bias on its long-term trend such that negative trends become less negative and positive trends become more positive. A cloud probability value of ≤1% has been identified as an optimal criterion for clear-sky definition to minimize the cloud contamination in the AVHRR aerosol retrieval while still retaining strong aerosol signals. In order for a satellite aerosol product to be useful and reliable in aerosol trend detection, the cloud contamination effect on aerosol trends needs to be studied/evaluated carefully along with the effects of calibration error, surface disturbance, and aerosol model assumptions. © 2013. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63822
Appears in Collections:影响、适应和脆弱性
气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: National Climatic Data Center, NOAA/NESDIS, 151 Patton Ave., RM-445, Asheville, NC 28801, United States; Cooperative Institute for Climate and Satellites-North Carolina (CICS-NC), NOAA/NESDIS/NCDC, Asheville, NC, United States; Center for Satellite Applications and Research (STAR), NOAA/NESDIS, Madison, WI, United States

Recommended Citation:
Zhao T.X.-P.,Chan P.K.,Heidinger A.K.. A global survey of the effect of cloud contamination on the aerosol optical thickness and its long-term trend derived from operational AVHRR satellite observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(7)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhao T.X.-P.]'s Articles
[Chan P.K.]'s Articles
[Heidinger A.K.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Zhao T.X.-P.]'s Articles
[Chan P.K.]'s Articles
[Heidinger A.K.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhao T.X.-P.]‘s Articles
[Chan P.K.]‘s Articles
[Heidinger A.K.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.