气候变化领域集成服务门户(CCPortal): Evaluation of multi-source precipitation products over the Yangtze River Basin

CCPortal

DOI	10.1016/j.atmosres.2020.105287
	Evaluation of multi-source precipitation products over the Yangtze River Basin
	Wang W.; Lin H.; Chen N.; Chen Z.
发表日期	2021
ISSN	0169-8095
卷号	249
英文摘要	Precipitation products are good choices to complement ground observations in hydrological research, but their accuracy is uncertain in different areas. This study aims to evaluate the systematic error characteristics of four major precipitation products, namely, Climate Prediction Center MORPHing technique(CMORPH), Climate Hazards Group Infrared Precipitation with Stations (CHIRPS), Global Land Data Assimilation System (GLDAS), and Tropical Rainfall Measuring Mission(TRMM) 3B42 v7, over the Yangtze River Basin in terms of estimating precipitation amounts and detecting events. The results show that the precipitation products have high spatial and seasonal heterogeneity of error characteristics, and the capability to capture rain occurrence decreases when rainfall intensity increases. GLDAS demonstrated the poorest performance, with the lowest correlation of 0.08 and the largest relative bias of over 25% underestimation. The possibility of GLDAS missing medium and heavy rains (>15 mm/d) reached 50%, and of falsely reporting light rainfall was up to 40%, while CMORPH outperformed the others with the highest consistency (0.39) against the gauge, the smallest root-mean-square error (RMSE) (10.28 mm), and the highest scores for most subregions. Generally, in this study GLDAS proved its inferiority to satellite-based precipitation products for hydrological applications over the Yangtze River Basin. © 2020 Elsevier B.V.
英文关键词	CHIRPS; CMORPH; GLDAS; Precipitation products; TMPA; Yangtze River Basin
语种	英语
scopus关键词	Errors; Mean square error; Rain gages; Rivers; Watersheds; Climate prediction centers; Error characteristics; Ground observations; Land data assimilation systems; Morphing techniques; Precipitation products; Root mean square errors; Tropical rainfall measuring missions; Rain; climate prediction; data assimilation; error analysis; precipitation (climatology); precipitation intensity; TRMM; China; Yangtze Basin
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141667
作者单位	State Key Laboratory of Information Engineering in Surveying, Mapping, Remote Sensing, Wuhan University, Wuhan, 430079, China
推荐引用方式 GB/T 7714	Wang W.,Lin H.,Chen N.,et al. Evaluation of multi-source precipitation products over the Yangtze River Basin[J],2021,249.
APA	Wang W.,Lin H.,Chen N.,&Chen Z..(2021).Evaluation of multi-source precipitation products over the Yangtze River Basin.Atmospheric Research,249.
MLA	Wang W.,et al."Evaluation of multi-source precipitation products over the Yangtze River Basin".Atmospheric Research 249(2021).