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DOI	10.1016/j.atmosres.2021.105875
	Characterizing the features of precipitation for the Tibetan Plateau among four gridded datasets: Detection accuracy and spatio-temporal variabilities
	Yuan, Xu; Yang, Kun; Lu, Hui; He, Jie; Sun, Jing; Wang, Yan
通讯作者	Yang, K (通讯作者)
发表日期	2021
ISSN	0169-8095
EISSN	1873-2895
卷号	264
英文摘要	Evaluation of the gridded products in the detection accuracy and spatio-temporal variabilities of precipitation over the Tibetan Plateau (TP) is crucial to the research of climate change and extreme events. Previous evaluation works mainly focus on the amount of precipitation and the capability in event detection. This study presents a multi-scale evaluation of four gridded precipitation datasets with relatively high resolutions against stations data in the variabilities of precipitation over the TP from 2004 to 2017. The four gridded products are the fifth-generation ECMWF atmospheric reanalysis of the global climate (ERA5), the Global Land Data Assimilation Systems (GLDAS), the High Asian Refined Analysis version 2 (HAR v2), and the Tropical Rainfall Measuring Mission (TRMM). Results show that TRMM and GLDAS have good performances in the occurrence frequency of daily precipitation over the TP but cannot precisely detect the daily precipitation events. In contrast, ERA5 can well detect the daily precipitation events although it overestimates the frequency of daily precipitation. Regarding the longer time scales, ERA5 outperforms the other three gridded products. It succeeds in reproducing the interannual and decadal variabilities of precipitation and reflecting the spatio-temporal patterns of precipitation over the whole TP. Thus, this study highlights that there are different optimal choices of precipitation products for different study purposes, and demonstrates the potential capability of ERA5 for being used in the studies of climate and hydrological change over the TP.
关键词	DATA ASSIMILATION CLIMATE-CHANGE TRMM PRODUCTS REANALYSIS ASIA
英文关键词	Tibetan Plateau; Spatio-temporal variability; Gridded precipitation datasets; Evaluation
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000707087300001
来源期刊	ATMOSPHERIC RESEARCH
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260184
推荐引用方式 GB/T 7714	Yuan, Xu,Yang, Kun,Lu, Hui,et al. Characterizing the features of precipitation for the Tibetan Plateau among four gridded datasets: Detection accuracy and spatio-temporal variabilities[J]. 中国科学院青藏高原研究所,2021,264.
APA	Yuan, Xu,Yang, Kun,Lu, Hui,He, Jie,Sun, Jing,&Wang, Yan.(2021).Characterizing the features of precipitation for the Tibetan Plateau among four gridded datasets: Detection accuracy and spatio-temporal variabilities.ATMOSPHERIC RESEARCH,264.
MLA	Yuan, Xu,et al."Characterizing the features of precipitation for the Tibetan Plateau among four gridded datasets: Detection accuracy and spatio-temporal variabilities".ATMOSPHERIC RESEARCH 264(2021).