Comparison of AVHRR aerosol optical depth production against CARSNET data in China | |
Han, Xinlei1,2; Zou, Xinyu2,4; Song, Zijue1; Fu, Disong1,2; Xia, Xiangao1,2,3; Che, Huizheng5,6 | |
刊名 | ATMOSPHERIC RESEARCH |
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 |
DOI | 10.1016/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. |
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关键词 | SENSING NETWORK CARSNET ; DATA-ASSIMILATION ; NORTH CHINA ; MODIS ; RETRIEVAL ; LAND ; CLIMATOLOGY ; VARIABILITY ; SENSITIVITY ; VALIDATION |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE INC |
WOS记录号 | WOS:000457814600002 |
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 |
内容类型 | 期刊论文 |
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. |
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