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Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China

文献类型：期刊论文

作者Lin, Hua1; Liu, Cheng2,3,4,5,6; Xing, Chengzhi2; Hu, Qihou2; Hong, Qianqian7; Liu, Haoran8; Li, Qihua8; Tan, Wei2; Ji, Xiangguang1; Wang, Zhuang2
刊名REMOTE SENSING
出版日期2020-10-01
卷号12
关键词MAX-DOAS water vapor vertical profiles HEIPRO
DOI10.3390/rs12193193
通讯作者Liu, Cheng(chliu81@ustc.edu.cn)
英文摘要Water vapor vertical profiles are important in numerical weather prediction, moisture transport, and vertical flux calculation. This study presents the Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) retrieval algorithm for water vapor vertical profiles and the retrieved results are validated with corresponding independent datasets under clear sky. The retrieved Vertical Column Densities (VCDs) and surface concentrations are validated with the Aerosol Robotic Network (AERONET) and National Climatic Data Centre (NCDC) datasets, achieving good correlation coefficients (R) of 0.922 and 0.876, respectively. The retrieved vertical profiles agree well with weekly balloon-borne radiosonde measurements. Furthermore, the retrieved water vapor concentrations at different altitudes (100-2000 m) are validated with the corresponding European Centre for Medium-range Weather Forecasts (ECMWF) ERA-interim datasets, achieving a correlation coefficient (R) varying from 0.695 to 0.857. The total error budgets for the surface concentrations and VCDs are 31% and 38%, respectively. Finally, the retrieval performance of the MAX-DOAS algorithm under different aerosol loads is evaluated. High aerosol loads obstruct the retrieval of surface concentrations and VCDs, with surface concentrations more liable to severe interference from such aerosol loads. To summarize, the feasibility of detecting water vapor profiles using MAX-DOAS under clear sky is confirmed in this work.
WOS关键词ABSORPTION CROSS-SECTION ; AEROSOL EXTINCTION ; TIBETAN PLATEAU ; PROFILE ; TEMPERATURE ; COLUMN ; NO2 ; PERFORMANCE ; TRANSPORT ; POLLUTION
资助项目National Key Research and Development Program of China[2018YFC0213104] ; National Key Research and Development Program of China[2018YFC0213201] ; National Key Research and Development Program of China[2016YFC0203302] ; National Key Research and Development Program of China[2017YFC0210002] ; Anhui Science and Technology Major Project[18030801111] ; National Natural Science Foundation of China[41722501] ; National Natural Science Foundation of China[91544212] ; National Natural Science Foundation of China[51778596] ; National Natural Science Foundation of China[41575021] ; National Natural Science Foundation of China[41977184] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23020301] ; National Key Project for Causes and Control of Heavy Air Pollution[DQGG0102-03] ; National Key Project for Causes and Control of Heavy Air Pollution[DQGG0205] ; National High-Resolution Earth Observation Project of China[05-Y30B01-9001-19/20-3] ; Civil Aerospace Technology Advance Research Project[Y7K00100KJ] ; China Postdoctoral Science Foundation[2020TQ0320]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000587198200001
出版者MDPI
资助机构National Key Research and Development Program of China ; Anhui Science and Technology Major Project ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Project for Causes and Control of Heavy Air Pollution ; National High-Resolution Earth Observation Project of China ; Civil Aerospace Technology Advance Research Project ; China Postdoctoral Science Foundation
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/105104]  
专题中国科学院合肥物质科学研究院
通讯作者Liu, Cheng
作者单位1.Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China
2.Chinese Acad Sci, Key Lab Environm Opt & Technol, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, Inst Urban Environm, Xiamen 361021, Peoples R China
4.Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
5.Univ Sci & Technol China, Key Lab Precis Sci Instrumentat Anhui Higher Educ, Hefei 230026, Peoples R China
6.Univ Sci & Technol China, Anhui Prov Key Lab Polar Environm & Global Change, Hefei 230026, Peoples R China
7.Jiangnan Univ, Sch Environm & Civil Engn, Wuxi 214122, Jiangsu, Peoples R China
8.Anhui Univ, Inst Phys Sci & Informat Technol, Hefei 230601, Peoples R China
推荐引用方式
GB/T 7714		 Lin, Hua,Liu, Cheng,Xing, Chengzhi,et al. Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China[J]. REMOTE SENSING,2020,12.
APA Lin, Hua.,Liu, Cheng.,Xing, Chengzhi.,Hu, Qihou.,Hong, Qianqian.,...&Liu, Jianguo.(2020).Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China.REMOTE SENSING,12.
MLA Lin, Hua,et al."Validation of Water Vapor Vertical Distributions Retrieved from MAX-DOAS over Beijing, China".REMOTE SENSING 12(2020).

入库方式： OAI收割

来源：合肥物质科学研究院

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