气候变化领域集成服务门户(CCPortal): Water vapor retrieval from MERSI NIR channels of Fengyun-3B satellite using ground-based GPS data

CCPortal

DOI	10.1016/j.rse.2021.112384
	Water vapor retrieval from MERSI NIR channels of Fengyun-3B satellite using ground-based GPS data
	He J.; Liu Z.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	An ensemble-based empirical regression algorithm is for the first time developed to retrieve total column water vapor from the Medium Resolution Spectral Imager (MERSI) near-infrared (NIR) channels onboard the Fengyun-3B (FY-3B) satellite. This retrieval method uses precipitable water vapor (PWV) data estimated from ground-based Global Positioning System (GPS) data to build a regression model in which the reflectance ratio observed from MERSI NIR absorption channels and the corresponding GPS PWV data are the parameters. The MERSI Level 1b data, specifically the three water vapor absorption channels centered at 905 nm, 940 nm, and 980 nm are used to retrieve water vapor. PWV data observed from 256 ground-based GPS stations located in the western North America in 2016 are used as reference data for model development. Then, validation is performed with data obtained during 2017–2019 from both the western North America and Australia to assess the performance of the proposed algorithm. The results indicate that the new PWV results agree very well with ground-based PWV reference data. The mean absolute percentage error (MAPE) for ensemble median PWV is 16.72% ~ 36.74% in western North America and is 15.47% ~ 32.31% in Australia. The RMSE is 4.635 mm ~ 8.156 mm in western North America and is 5.383 mm ~ 8.900 mm in Australia. The weighted mean value using three-channel ratio transmittance has the best retrieval accuracy, with RMSE of 4.635 mm in western North America and 5.383 mm in Australia. This new PWV algorithm can retrieve PWV from FY-3B data with a higher accuracy for different regions. Different from conventional algorithms, no pre-observed information of atmospheric parameters is required in this model. © 2021 Elsevier Inc.
英文关键词	GPS; MERSI; Near infrared; Precipitable water vapor
语种	英语
scopus关键词	Global positioning system; Infrared devices; Regression analysis; Water absorption; Water vapor; Australia; Global positioning; Ground based; Medium resolution spectral imager; Near Infrared; Near-infrared; Near-infrared channels; Positioning system; Precipitable water vapour; Reference data; Spectroscopy; absorption; accuracy assessment; algorithm; error analysis; FengYun; GPS; ground-based measurement; MERSI; model validation; satellite data; transmittance; water vapor; Australia; North America
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178889
作者单位	Department of Land Surveying and Geo-Informatics, Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong; Research Institute for Sustainable Urban Development (RISUD), Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong
推荐引用方式 GB/T 7714	He J.,Liu Z.. Water vapor retrieval from MERSI NIR channels of Fengyun-3B satellite using ground-based GPS data[J],2021,258.
APA	He J.,&Liu Z..(2021).Water vapor retrieval from MERSI NIR channels of Fengyun-3B satellite using ground-based GPS data.Remote Sensing of Environment,258.
MLA	He J.,et al."Water vapor retrieval from MERSI NIR channels of Fengyun-3B satellite using ground-based GPS data".Remote Sensing of Environment 258(2021).