干旱区生态环境知识资源中心(Arid): Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas

Arid

DOI	10.3390/rs12182886
	Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas
	Wang, Xiangzhen; Li, Baofu; Chen, Yaning; Guo, Hao; Wang, Yunqian; Lian, Lishu
通讯作者	Li, BF
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:18
英文摘要	Global Satellite Mapping of Precipitation (GSMaP), Climate Hazards Group InfraRed Preconception with Station data (CHIRPS), Tropical Rain Measurement Mission Multisatellite Precipitation Analysis (TRMM 3B42 V7) and Rainfall Estimation from Soil Moisture Observations (SM2RAIN) are satellite precipitation products with high applicability, but their applicability in hydrological research in arid mountainous areas is not clear. Based on precipitation and runoff data, this study evaluated the applicability of each product to hydrological research in a typical mountainous basin (the Qaraqash River basin) in an arid region by using two methods: a statistical index and a hydrological model (Soil and Water Assessment Tool, SWAT). Simulation results were evaluated by Nash efficiency coefficient (NS), relative error (PBIAS) and determination coefficient (R-2). The results show that: (1) The spatial distributions of precipitation estimated by these four products in the Qaraqash River basin are significantly different, and the multi-year average annual precipitation of GSMaP is 97.11 mm, which is the closest to the weather station interpolation results. (2) On the annual and monthly scales, GSMaP has the highest correlation (R >= 0.82) with the observed precipitation and the smallest relative error (BIAS < 6%). On the seasonal scale, the inversion accuracy of GSMaP in spring, summer and autumn is significantly higher than other products. In winter, all four sets of products perform poorly in estimating the actual precipitation. (3) Monthly runoff simulations based on SM2RAIN and GSMaP show good fitting (R-2> 0.6). In daily runoff simulation, GSMaP has the greatest ability to reproduce runoff changes. The study provides a reference for the optimization of precipitation image data and hydrological simulation in data-scarce areas.
英文关键词	CHIRPS GSMaP SM2RAIN Qaraqash River applicability evaluation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000580259500001
WOS关键词	RAINFALL PRODUCTS ; RIVER-BASIN ; RESOLUTION ; TMPA ; RETRIEVALS ; VALIDATION ; NETWORKS ; GPM
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326948
作者单位	[Wang, Xiangzhen; Li, Baofu; Guo, Hao; Wang, Yunqian; Lian, Lishu] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China; [Wang, Xiangzhen; Li, Baofu; Chen, Yaning] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiangzhen,Li, Baofu,Chen, Yaning,et al. Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas[J]. 中国科学院新疆生态与地理研究所,2020,12(18).
APA	Wang, Xiangzhen,Li, Baofu,Chen, Yaning,Guo, Hao,Wang, Yunqian,&Lian, Lishu.(2020).Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas.REMOTE SENSING,12(18).
MLA	Wang, Xiangzhen,et al."Applicability Evaluation of Multisource Satellite Precipitation Data for Hydrological Research in Arid Mountainous Areas".REMOTE SENSING 12.18(2020).