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  4. 中国科学院矿产资源研究重点实验室
Comparison of AVHRR aerosol optical depth production against CARSNET data in China

文献类型：期刊论文

作者Han, Xinlei1,2; Zou, Xinyu2,4; Song, Zijue1; Fu, Disong1,2; Xia, Xiangao1,2,3; Che, Huizheng5,6
刊名ATMOSPHERIC RESEARCH
出版日期2019-04-01
卷号218页码:12-24
关键词Aerosol optical depth AVHRR CARSNET Surface reflectance Aerosol assumptions
ISSN号0169-8095
DOI10.1016/j.atmosres.2018.11.005
英文摘要This study presents a dedicated evaluation of a newly released satellite aerosol product derived from Advanced Very-High-Resolution Radiometer (AVHRR) measurements by using the Deep Blue/SOAR aerosol retrieval algorithm. Aerosol product from the Chinese Aerosol Network (CARSNET) is used as the ground truth in the comparison. Comparison of AVHRR and CARSNET aerosol optical depth (AOD) products during 2006-2011 shows that the accuracy and precision of AVHRR AOD demonstrate complicated spatial and seasonal dependence. First, AVHRR AOD is in good agreement with CARSNET AOD over eastern urban areas in China. 45% -78% of data points fall within the expeCted error range ( +/- 0.05 +/- 0.25 x AOD) over there. Second, in regions with natural vegetation cover and relatively clean environment conditions, low correlation is observed due to small AOD loadings ( < 0.2 and < 0.6, respectively) and small AOD variations ( < 1.0). Third, for dust affected arid and semi-arid dry regions and western urban regions, AVHRR AOD products need further great improvement. A large regional variation of AOD bias with increasing CARSNET AOD may be due to insufficient representation of aerosol properties in the algorithm. The systematic underestimation of AVHRR AOD in most sites likely attributes to improper surface reflectance estimation, which should be furthermore improved in the deep blue algorithm. AVHRR has great potential in the retrieval of the historical AOD record from 1979 to the present, therefore, one would expect that AVHRR aerosol products would contribute to furthering our understanding of aerosol effects on climate and environment.
WOS关键词SENSING NETWORK CARSNET ; DATA-ASSIMILATION ; NORTH CHINA ; MODIS ; RETRIEVAL ; LAND ; CLIMATOLOGY ; VARIABILITY ; SENSITIVITY ; VALIDATION
资助项目National Key R&D Program of China[2016YFA0601901] ; National Key R&D Program of China[2017YFA0603504] ; National Key Project of Basic Research[2014CB441201] ; National Natural Science Foundation of China[41590874] ; CAMS Basis Research Project[2017Z011] ; CAMS Basis Research Project[2016Z001] ; CAMS Basis Research Project[2014R17]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000457814600002
出版者ELSEVIER SCIENCE INC
资助机构National Key R&D Program of China ; National Key R&D Program of China ; National Key Project of Basic Research ; National Key Project of Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAMS Basis Research Project ; CAMS Basis Research Project ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Project of Basic Research ; National Key Project of Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAMS Basis Research Project ; CAMS Basis Research Project ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Project of Basic Research ; National Key Project of Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAMS Basis Research Project ; CAMS Basis Research Project ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Project of Basic Research ; National Key Project of Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAMS Basis Research Project ; CAMS Basis Research Project
源URL[http://ir.iggcas.ac.cn/handle/132A11/90557]  
专题地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者Xia, Xiangao; Che, Huizheng
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, LAGEO, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China
5.Chinese Acad Meteorol Sci, State Key Lab Severe Weather LASW, CMA, Beijing 100081, Peoples R China
6.Chinese Acad Meteorol Sci, Inst Atmospher Composit, CMA, Beijing 100081, Peoples R China
推荐引用方式
GB/T 7714		 Han, Xinlei,Zou, Xinyu,Song, Zijue,et al. Comparison of AVHRR aerosol optical depth production against CARSNET data in China[J]. ATMOSPHERIC RESEARCH,2019,218:12-24.
APA Han, Xinlei,Zou, Xinyu,Song, Zijue,Fu, Disong,Xia, Xiangao,&Che, Huizheng.(2019).Comparison of AVHRR aerosol optical depth production against CARSNET data in China.ATMOSPHERIC RESEARCH,218,12-24.
MLA Han, Xinlei,et al."Comparison of AVHRR aerosol optical depth production against CARSNET data in China".ATMOSPHERIC RESEARCH 218(2019):12-24.

入库方式： OAI收割

来源：地质与地球物理研究所

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