Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018

doi:10.3390/rs11242992

	Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018
	Xu, Jintao 4; Ma, Ziqiang 1,3; Tang, Guoqiang 2,5; Ji, Qingwen 1; Min, Xiaoxiao 4; Wan, Wei 1; Shi, Zhou 4
刊名	REMOTE SENSING
	2019-12-02
卷号	11 期号:24 页码:21
关键词	precipitation evaluation error analysis Fengyun quantitative precipitation estimates GPM IMERG
DOI	10.3390/rs11242992
通讯作者	Shi, Zhou(shizhou@zju.edu.cn)
英文摘要	Satellite-based quantitative precipitation estimates (QPE) with a fine quality are of great importance to global water cycle and matter and energy exchange research. In this study, we firstly apply various statistical indicators to evaluate and compare the main current satellite-based precipitation products from Chinese Fengyun (FY)-2 and the Global Precipitation Measurement (GPM), respectively, over mainland China in summer, 2018. We find that (1) FY-2G QPE and Integrated Multi-satellitE Retrievals for GPM (IMERG) perform significantly better than FY-2E QPE, using rain gauge data, with correlation coefficients (CC) varying from 0.65 to 0.90, 0.80 to 0.90, and 0.40 to 0.53, respectively; (2) IMERG agrees well with rain gauge data at monthly scale, while it performs worse than FY-2G QPE at hourly and daily scales, which may be caused by its algorithms; (3) FY-2G QPE underestimates the precipitation in summer, while FY-2E QPE and IMERG generally overestimate the precipitation; (4) there is an interesting error phenomenon in that both FY-based and GPM-based precipitation products perform more poorly during the period from 06:00 to 10:00 UTC than other periods at diurnal scale; and (5) FY-2G QPE agrees well with IMERG in terms of spatial patterns and consistency (CC of 0.81). These findings can provide valuable preliminary references for improving next generation satellite-based QPE retrieval algorithms and instructions for applying these data in various practical fields.
资助项目	National Key Research and Development Program[2017YFD0700501] ; State Key Laboratory of Resources and Environmental Information System, National Natural Science Foundation of China[41571339] ; State Key Laboratory of Resources and Environmental Information System, National Natural Science Foundation of China[41901343] ; Open Fund of the State Key Laboratory of Remote Sensing Science[OFSLRSS201909] ; Key R&D Program of Ministry of Science and Technology[2018YFC1506500] ; China Postdoctoral Science Foundation[2018M630037] ; China Postdoctoral Science Foundation[2019T120021]
WOS关键词	SATELLITE ; RESOLUTION ; RAINFALL ; TMPA ; PERFORMANCE ; DATASETS ; SYSTEM ; SPACE ; IMERG
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000507333400106
资助机构	National Key Research and Development Program ; State Key Laboratory of Resources and Environmental Information System, National Natural Science Foundation of China ; Open Fund of the State Key Laboratory of Remote Sensing Science ; Key R&D Program of Ministry of Science and Technology ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/131242]
专题	中国科学院地理科学与资源研究所
通讯作者	Shi, Zhou
作者单位	1.Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China 2.Univ Saskatchewan, Ctr Hydrol, Saskatoon, SK S7N 1K2, Canada 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applic, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China 5.Univ Saskatchewan, Coldwater Lab, Canmore, AB T1W 3G1, Canada
推荐引用方式 GB/T 7714	Xu, Jintao,Ma, Ziqiang,Tang, Guoqiang,et al. Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018[J]. REMOTE SENSING,2019,11(24):21.
APA	Xu, Jintao.,Ma, Ziqiang.,Tang, Guoqiang.,Ji, Qingwen.,Min, Xiaoxiao.,...&Shi, Zhou.(2019).Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018.REMOTE SENSING,11(24),21.
MLA	Xu, Jintao,et al."Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018".REMOTE SENSING 11.24(2019):21.