Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China

doi:10.1016/j.atmosres.2019.104746

	Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China
	Wang, Ning 1; Liu, Wenbin 2; Sun, Fubao 2,4; Yao, Zhihong 3; Wang, Hong 2; Liu, Wanqing 1
刊名	ATMOSPHERIC RESEARCH
	2020-04-01
卷号	234 页码:12
关键词	Satellite-based precipitation Reanalysis-based precipitation Error correction Hydrological model Xihe River Basin
ISSN号	0169-8095
DOI	10.1016/j.atmosres.2019.104746
通讯作者	Liu, Wenbin(liuwb@igsnrr.ac.cn) ; Sun, Fubao(sunfb@igsnrr.ac.cn)
英文摘要	The wide application of satellite-based and reanalysis-based precipitation data has greatly promoted hydrometeorological research in areas where precipitation observations are scarce. However, the suitability of such precipitation products needs to be carefully evaluated before applications in certain basins because their inherited errors vary with different climate zones, seasonal cycles and land surface conditions; in addition, precipitation products have not been evaluated in the Xihe River basin, China. In this paper, two representative satellite-based precipitation products (Tropical Rainfall Measuring Mission (TRMM) and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (CDR)) and two reanalysis-based precipitation products (China Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS) and National Centers for Environmental Prediction - Climate Forecast System Reanalysis (CFSR)) were selected for evaluation and corrected against gauge-observed data (OBS). Furthermore, the performances of precipitation products in hydrological simulations were also assessed using the SWAT model calibrated with OBS forcing and not with individual precipitation products. The results show that satellite-based precipitation has a higher quality than reanalysis-based precipitation. The CFSR and CDR overestimate precipitation (the overestimation of CDR precipitation is mainly concentrated in the precipitation intensity range of 1 mm/d to 5 mm/d), while the TRMM and CMADS underestimate precipitation in the Xihe River basin. The TRMM precipitation performs best during the wet season, while the CDR precipitation performed best during the dry season. After bias correction, the quality of TRMM precipitation improves significantly. The Nash-Sutcliffe coefficient (NS) (the percent bias (vertical bar PBIAS vertical bar)) increases (decreases) by 0.61 (77.27%) and 0.7 (39.15%) under the two different correction scenarios during 2009-2015. Overall, the above original precipitation products cannot be used as supplements to the OBS in the Xihe River basin unless they are corrected by the OBS.
资助项目	National Natural Science Foundation of China[41601035] ; National Key Research and Development Program of China[2019YFA0606903] ; National Key Research and Development Program of China[2016YFC0401401] ; National Key Research and Development Program of China[2016YFA0602402] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2019-3] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2017-31] ; Top-Notch Young Talents Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100401]
WOS关键词	GPM IMERG ; LAND-USE ; PRODUCTS ; WATER ; EVAPOTRANSPIRATION ; UNCERTAINTY ; PERFORMANCE ; VARIABILITY ; SIMULATION ; STREAMFLOW
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000513182600022
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Key Research Program of the Chinese Academy of Sciences ; Top-Notch Young Talents Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/132143]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Wenbin; Sun, Fubao
作者单位	1.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 3.North China Univ Water Resources & Elect Power, Coll Surveying & Geoinformat, Zhengzhou 450045, Peoples R China 4.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
推荐引用方式 GB/T 7714	Wang, Ning,Liu, Wenbin,Sun, Fubao,et al. Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China[J]. ATMOSPHERIC RESEARCH,2020,234:12.
APA	Wang, Ning,Liu, Wenbin,Sun, Fubao,Yao, Zhihong,Wang, Hong,&Liu, Wanqing.(2020).Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China.ATMOSPHERIC RESEARCH,234,12.
MLA	Wang, Ning,et al."Evaluating satellite-based and reanalysis precipitation datasets with gauge-observed data and hydrological modeling in the Xihe River Basin, China".ATMOSPHERIC RESEARCH 234(2020):12.