Assessment of four latest long-term satellite-based precipitation products in capturing the extreme precipitation and streamflow across a humid region of southern China

doi:10.1016/j.atmosres.2021.105554

	Assessment of four latest long-term satellite-based precipitation products in capturing the extreme precipitation and streamflow across a humid region of southern China
	Wang, Qiang 1,3; Xia, Jun 1,2,3; She, Dunxian 1,3; Zhang, Xiang 1,3; Liu, Jie 1,3; Zhang, Yin 1,3
刊名	ATMOSPHERIC RESEARCH
	2021-08-10
卷号	257 页码:13
关键词	Satellite-based precipitation product Extreme precipitation Extreme streamflow Distributed hydrological model
ISSN号	0169-8095
DOI	10.1016/j.atmosres.2021.105554
通讯作者	Xia, Jun(xiajun666@whu.edu.cn) ; She, Dunxian(shedunxian@whu.edu.cn)
英文摘要	The lack of ground-based observation data usually limits the analysis of extreme precipitation and streamflow, especially for the ungauged or data-limited regions. Satellite-based precipitation products (SPPs) with high temporal and spatial resolutions can provide potential data sources in the regions without adequate precipitation data, and it has received much attention of regional or global hydro-climatic analysis. This study aims to evaluate the accuracy of four widely used long time series SPPs (CHIRPS, TMPA, CMORPH and PERSIANN) in capturing extreme precipitation and streamflow events in a humid region of southern China. It is found that, for extreme precipitation detection, both CMORPH and TMPA can capture most heavy and extreme precipitation, CMORPH works better on the rainfall distribution characteristics, while TMPA shows the best performance in capturing the extreme precipitation events with relatively low RMSE, ME and BIAS, and high R values of extreme precipitation indices. For the streamflow simulation, the combinations of different inputs and different models present different model performances. TMPA provides the most accurate hydrological model simulation results, while simulated streamflow forced by CMORPH exhibits considerable underestimation of streamflow. However, the combination of CMORPH and VIC model obtains the best efficiency for detecting extreme streamflow, followed by the combination of TMPA and SWAT model, which indicates the selection of a suitable model and input data is essential to obtain reliable and accurate results for the detection of extreme streamflow. This study is expected to provide a valuable reference for the application and comparison of multiple SPPs and models at watershed scales.
资助项目	National Key Research and Development Program of China[2016YFC0402709] ; National Natural Science Foundation of China[41890823] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304]
WOS关键词	HIGH-RESOLUTION SATELLITE ; RIVER-BASIN ; PERSIANN-CDR ; RAINFALL ; MODEL ; CLIMATE ; TRMM ; WATER ; RUNOFF ; SOIL
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE INC
WOS记录号	WOS:000651220900001
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation 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/311030/162795]
专题	中国科学院地理科学与资源研究所
通讯作者	Xia, Jun; She, Dunxian
作者单位	1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, 8 Donghu South Rd, Wuhan 430072, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, 11A Datun Rd, Beijing 100101, Peoples R China 3.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construc, Wuhan 430072, Peoples R China
推荐引用方式 GB/T 7714	Wang, Qiang,Xia, Jun,She, Dunxian,et al. Assessment of four latest long-term satellite-based precipitation products in capturing the extreme precipitation and streamflow across a humid region of southern China[J]. ATMOSPHERIC RESEARCH,2021,257:13.
APA	Wang, Qiang,Xia, Jun,She, Dunxian,Zhang, Xiang,Liu, Jie,&Zhang, Yin.(2021).Assessment of four latest long-term satellite-based precipitation products in capturing the extreme precipitation and streamflow across a humid region of southern China.ATMOSPHERIC RESEARCH,257,13.
MLA	Wang, Qiang,et al."Assessment of four latest long-term satellite-based precipitation products in capturing the extreme precipitation and streamflow across a humid region of southern China".ATMOSPHERIC RESEARCH 257(2021):13.