中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites

文献类型:期刊论文

作者Xie, Yanqing2,3; Hou, Weizhen2,3; Li, Zhengqiang2,3; Zhu, Sifeng2,3; Liu, Zhenhai1; Hong, Jin1; Ma, Yan3; Fan, Cheng3; Guang, Jie3; Yang, Benyong1
刊名REMOTE SENSING
出版日期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
DOI10.3390/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.
WOS关键词TOTAL PRECIPITABLE WATER ; AERONET ; VALIDATION ; GPS ; ALGORITHM ; RADIOSONDES ; ABSORPTION ; SCATTERING ; NETWORK ; LAND
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研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000774472100001
出版者MDPI
资助机构National Natural Science Foundation of China ; National Outstanding Youth Foundation of China ; K. C. Wong Education Foundation
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, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, 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).

入库方式: OAI收割

来源:合肥物质科学研究院

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