Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites

doi:10.3390/rs14061376

	Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites
	Xie, Yanqing 1,2; Hou, Weizhen 1,2; Li, Zhengqiang 1,2; Zhu, Sifeng 1,2; Liu, Zhenhai 3; Hong, Jin 3; Ma, Yan 1; Fan, Cheng 1; Guang, Jie 1; Yang, Benyong 3
刊名	REMOTE SENSING
	2022-03-01
卷号	14
关键词	water vapor retrieval columnar water vapor (CWV) polarized scanning atmospheric corrector (PSAC) HJ-2 A/B satellites
DOI	10.3390/rs14061376
通讯作者	Li, Zhengqiang(lizq@radi.ac.cn)
英文摘要	As the latest members of Chinese Environmental Protection and Disaster Monitoring Satellite Constellation, the first two of HuanjingJianzai-2 (HJ-2) series satellites were launched on 27 September 2020 by China and are usually abbreviated as HJ-2 A/B satellites. The polarized scanning atmospheric corrector (PSAC) is one of main sensors onboard HJ-2 A/B satellites, which is mainly used to monitor atmospheric components such as water vapor and aerosols. In this study, a columnar water vapor (CWV) retrieval algorithm using two bands (865 and 910 nm) is developed for PSAC. The validation results of PSAC CWV data based on ground-based CWV data derived from Aerosol Robotic Network (AERONET) show that PSAC CWV data has a high accuracy, and all statistical parameters of PSAC CWV data are better than those of Moderate-resolution Imaging Spectroradiometer (MODIS) CWV data released by NASA. Overall, there is no obvious overestimation or underestimation in PSAC CWV data. The root mean square error (RMSE), mean absolute error (MAE), relative error (RE), and percentage of CWV data with error within +/-(0.05 + 0.10 * CWVAERONET) (PER10) of PSAC CWV data are 0.17 cm, 0.13 cm, 0.08, and 78.19%, respectively. The RMSE, MAE, RE, and PER10 of MODIS CWV data are 0.59 cm, 0.48 cm, 0.28, and 16.55%, respectively. Compared with MODIS CWV data, PSAC CWV data shows a 71% decrease in RMSE, a 73% decrease in MAE, a 71% decrease in RE, and a 372% increase in PER10. In addition, the results of day-to-day comparisons between PSAC CWV data and AERONET data show that PSAC CWV data can effectively characterize the change trend of CWV.
资助项目	National Natural Science Foundation of China[41701407] ; National Outstanding Youth Foundation of China[41925019] ; K. C. Wong Education Foundation[GJTD-2018-15]
WOS关键词	TOTAL PRECIPITABLE WATER ; AERONET ; VALIDATION ; GPS ; ALGORITHM ; RADIOSONDES ; ABSORPTION ; SCATTERING ; NETWORK ; LAND
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	MDPI
WOS记录号	WOS:000774472100001
资助机构	National Natural Science Foundation of China ; National Outstanding Youth Foundation of China ; K. C. Wong Education Foundation
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/128225]
专题	中国科学院合肥物质科学研究院
通讯作者	Li, Zhengqiang
作者单位	1.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
推荐引用方式 GB/T 7714	Xie, Yanqing,Hou, Weizhen,Li, Zhengqiang,et al. Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites[J]. REMOTE SENSING,2022,14.
APA	Xie, Yanqing.,Hou, Weizhen.,Li, Zhengqiang.,Zhu, Sifeng.,Liu, Zhenhai.,...&Qiao, Yanli.(2022).Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites.REMOTE SENSING,14.
MLA	Xie, Yanqing,et al."Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites".REMOTE SENSING 14(2022).