Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay

doi:10.1109/TGRS.2023.3304129

	Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay
	Xie, Yanqing 5,6,7,8; Zhang, Miaomiao 4; Wang, Zijun 4; Wen, Yuan 4; Zhang, Liguo 4; Li, Yunduan 4; Hou, Weizhen 3,5; Liu, Zhenhai 2; Hong, Jin 2; Lei, Xuefeng 2
刊名	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
	2023
卷号	61
关键词	Accuracy assessment polarized scanning atmospheric corrector (PSAC) precipitable water vapor (PWV) retrieval radiometric decay
ISSN号	0196-2892
DOI	10.1109/TGRS.2023.3304129
通讯作者	Wang, Zijun(wzj08@sina.cn) ; Hou, Weizhen(houwz@radi.ac.cn)
英文摘要	Polarized scanning atmospheric corrector (PSAC) is an optical sensor onboard HuanjingJianzai-2 (HJ-2) A/B satellite. One of its missions is to monitor precipitable water vapor (PWV) by using its near-infrared (NIR) channels. Since the accuracy of the commonly used NIR PWV retrieval algorithm developed based on the radiative transfer model (RTM) would be significantly affected by the radiometric decay of sensors, and the recalibration of decayed sensors is a complex process, it is interesting and necessary to find a robust PWV retrieval algorithm that is not affected by sensor decay. At present, a semi-empirical algorithm constructed based on the matching results between ground-based PWV data and the actual PSAC observations has been used for the PWV retrieval of PSAC. Since the systematic calibration error of PSAC is considered in constructing the algorithm, it should be able to remove the negative effects of sensor decay on PWV retrieval results. Because the above inference has not been confirmed quantitatively, it is necessary to evaluate the accuracy of the algorithm in the presence of sensor decay. The evaluation results based on simulated data show that the accuracy of the semi-empirical algorithm does not change regardless of the presence or absence of radiometric decay in PSAC. Moreover, the algorithm is used for PWV retrieval of MODIS to test its effectiveness. Compared with the official PWV data developed based on RTM, the MODIS PWV data developed by using the semi-empirical algorithm are reduced by more than 50% in both absolute and relative errors (REs).
资助项目	National Key Research and Development Program of China[2022YFB3901800] ; National Key Research and Development Program of China[2022YFB3901805] ; Open Fund of State Key Laboratory of Remote Sensing Science[OFSLRSS202322]
WOS关键词	SUN PHOTOMETER ; LAND ; VALIDATION ; GPS ; RADIOSONDES ; NETWORK
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001064718000019
资助机构	National Key Research and Development Program of China ; Open Fund of State Key Laboratory of Remote Sensing Science
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/132573]
专题	中国科学院合肥物质科学研究院
通讯作者	Wang, Zijun; Hou, Weizhen
作者单位	1.China Ctr Resources Satellite Data & Applicat, Beijing 100094, Peoples R China 2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China 3.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote Se, Beijing 100101, Peoples R China 4.Shanghai Inst Satellite Engn, Shanghai 201109, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote Se, Beijing 100101, Peoples R China 7.Minist Nat Resources, Key Lab Space Ocean Remote Sensing & Applicat, Beijing 100081, Peoples R China 8.Shanghai Inst Satellite Engn, Shanghai 201109, Peoples R China
推荐引用方式 GB/T 7714	Xie, Yanqing,Zhang, Miaomiao,Wang, Zijun,et al. Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61.
APA	Xie, Yanqing.,Zhang, Miaomiao.,Wang, Zijun.,Wen, Yuan.,Zhang, Liguo.,...&Li, Zhengqiang.(2023).Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61.
MLA	Xie, Yanqing,et al."Performance of the Semi-Empirical Precipitable Water Vapor Retrieval Algorithm Developed for Polarized Scanning Atmospheric Corrector (PSAC) in the Presence of Sensor Decay".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023).