中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluation of Multi-Satellite Precipitation Products and Their Ability in Capturing the Characteristics of Extreme Climate Events over the Yangtze River Basin, China

文献类型:期刊论文

作者Xiao, Shuai1,2; Xia, Jun1,3; Zou, Lei1
刊名WATER
出版日期2020-04-01
卷号12期号:4页码:22
关键词satellite precipitation products extreme climate events statistical evaluation Yangtze River Basin
DOI10.3390/w12041179
通讯作者Zou, Lei(zoulei@igsnrr.ac.cn)
英文摘要Against the background of global climate change and anthropogenic stresses, extreme climate events (ECEs) are projected to increase in both frequency and intensity. Precipitation is one of the main climate parameters for ECE analysis. However, accurate precipitation information for extreme climate events research from dense rain gauges is still difficult to obtain in mountainous or economically disadvantaged regions. Satellite precipitation products (SPPs) with high spatial and temporal resolution offer opportunities to monitor ECE intensities and trends on large spatial scales. In this study, the accuracies of seven SPPs on multiple spatiotemporal scales in the Yangtze River Basin (YRB) during the period of 2003-2017 are evaluated, along with their ability to capture ECE characteristics. The seven products are the Tropical Rainfall Measuring Mission, Climate Hazards Group InfraRed Precipitation with Station Data (CHIRPS) (25), CHIRPS (05), Climate Prediction Center Morphing (CMORPH), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN)-Climate Data Record, PERSIANN-Cloud Classification System, and Global Precipitation Measurement (GPM) IMERG. Rain gauge precipitation data provided by the China Meteorological Administration are adopted as reference data. Various statistical evaluation metrics and different ECE indexes are used to evaluate and compare the performances of the selected products. The results show that CMORPH has the best agreement with the reference data on the daily and annual scales, but GPM IMERG performs relatively well on the monthly scale. With regard to ECE monitoring in the YRB, in general, GPM IMERG and CMORPH provide higher precision. As regards the spatial heterogeneity of the SPP performance in the YRB, most of the examined SPPs have poor accuracy in the mountainous areas of the upper reach. Only CMORPH and GPM IMERG exhibit superior performance; this is because they feature an improved inversion precipitation algorithm for mountainous areas. Furthermore, most SPPs have poor ability to capture extreme precipitation in the estuaries of the lower reach and to monitor drought in the mountainous areas of the upper reach. This study can provide a reference for SPP selection for ECE analysis.
WOS关键词ANALYSIS TMPA ; RESOLUTION ; DROUGHT ; INDEXES ; CMORPH ; FLOOD ; IMERG
资助项目National Natural Science Foundation of China[41890822] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304]
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000539527500256
出版者MDPI
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/162200]  
专题中国科学院地理科学与资源研究所
通讯作者Zou, Lei
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Environm & Resources, Beijing 100049, Peoples R China
3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Peoples R China
推荐引用方式
GB/T 7714
Xiao, Shuai,Xia, Jun,Zou, Lei. Evaluation of Multi-Satellite Precipitation Products and Their Ability in Capturing the Characteristics of Extreme Climate Events over the Yangtze River Basin, China[J]. WATER,2020,12(4):22.
APA Xiao, Shuai,Xia, Jun,&Zou, Lei.(2020).Evaluation of Multi-Satellite Precipitation Products and Their Ability in Capturing the Characteristics of Extreme Climate Events over the Yangtze River Basin, China.WATER,12(4),22.
MLA Xiao, Shuai,et al."Evaluation of Multi-Satellite Precipitation Products and Their Ability in Capturing the Characteristics of Extreme Climate Events over the Yangtze River Basin, China".WATER 12.4(2020):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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