DOI: 10.1016/j.atmosenv.2017.09.004
Scopus记录号: 2-s2.0-85031504987
论文题名: Aerosol optical depth retrieval from visibility in China during 1973–2014
作者: Zhang Z ; , Wu W ; , Wei J ; , Song Y ; , Yan X ; , Zhu L ; , Wang Q
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 171 起始页码: 38
结束页码: 48
语种: 英语
英文关键词: Aerosol Optical Depth
; Singular Value Decomposition (SVD)
; Spatio-temporal variability
; Visibility
Scopus关键词: Aerosols
; Atmospheric aerosols
; Budget control
; Climate change
; Earth (planet)
; Mean square error
; Optical properties
; Radiometers
; Visibility
; Aerosol optical depths
; Principal Components
; Root mean squared errors
; Singular value decomposition method
; Spatio-temporal variation
; Spatiotemporal variability
; Surface visibility
; Yangtze river delta
; Singular value decomposition
; aerosol
; climate change
; data set
; MODIS
; optical depth
; radiative transfer
; spatiotemporal analysis
; trend analysis
; visibility
; aerosol
; aerosol optical depth
; algorithm
; analytic method
; Article
; China
; climate change
; priority journal
; river
; river basin
; singlar value decomposition
; spatiotemporal analysis
; visibility
; China
; Guangdong
; North China Plain
; Sichuan Basin
; Yangtze River
; Zhujiang Delta
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Visibility is a widely-used indicator to quantify aerosol loadings. However, there are still some uncertainties in retrieving Aerosol Optical Depth (AOD) from surface visibility data. In this study, a new method, KM-Elterman method, was developed to retrieve AOD based on visibility from 1973 to 2014 and MODIS (Aqua) AOD product from 2002 to 2014. The analysis indicated that KM-Elterman method performed better than previous algorithms, such as Qiu, Elterman, and M-Elterman algorithms. The correlation between inferred AOD and MODIS measurements from 2002 to 2010 reached at 0.942 and the Root Mean Squared Error (RMSE) is about 0.077 for annual inferred AOD. Singular Value Decomposition (SVD) method was used to investigate the consistency of spatio-temporal variations between inferred AOD and MODIS measurements from July 2002 to December 2014. The correlation between Principal Components (PCs) is well above 0.72. The spatial patterns of inferred AOD agreed well with that of MODIS datasets. Long-term AOD trends over China during 1973–2014 were analyzed using the inferred AOD and our results pointed out that rapidly increasing trends of AOD were observed before 1980 in North China Plain (NCP), Yangtze River Delta (YRD), central China, Sichuan Basin (SB), and Pearl River Delta (PRD). Slight decreasing trends were found in southwest China. The inferred AOD can be used to explore aerosol effects on climate change and Earth's radiative budget. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82179
Appears in Collections: 气候变化事实与影响
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作者单位: College of Geography and Environmental Sciences, Zhejiang Normal UniversityZhejiang Province, China; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Chinese Academy for Environmental PlanningBeijing, China; College of Urban and Environmental Sciences, Peking University, Beijing, China; Quzhou Environmental Monitoring CenterZhejiang, China; Faculty of Agriculture, Shizuoka University, Shizuoka, Japan; College of Geomatics, Shandong University of Science and Technology, Qingdao, China
Recommended Citation:
Zhang Z,, Wu W,, Wei J,et al. Aerosol optical depth retrieval from visibility in China during 1973–2014[J]. Atmospheric Environment,2017-01-01,171