Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations

doi:10.1002/joc.5510

	Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations
	Hu, Zengyun 1,2; Zhou, Qiming 2; Chen, Xi 1; Li, Jianfeng 2; Li, Qingxiang 3; Chen, Deliang 4; Liu, Wenbin 5; Yin, Gang 6
刊名	INTERNATIONAL JOURNAL OF CLIMATOLOGY
	2018-07-01
卷号	38 期号:9 页码:3475-3493
关键词	central Asia evaluation gridded precipitation data set rain gauge observation
ISSN号	0899-8418
DOI	10.1002/joc.5510
通讯作者	Zhou, Qiming(qiming@hkbu.edu.hk) ; Chen, Xi(chenxi@ms.xjb.ac.cn)
英文摘要	The accuracies of gridded precipitation data sets are important for regional climate studies and hydrological models. In this study, the performances of Global Precipitation Climatology Centre (GPCC) V7, Climatic Research Unit (CRU) TS 3.22 and Willmott and Matsuura (WM) precipitation data sets were examined over central Asia by comparing them against observed precipitation records (OBS) from 586 meteorological stations during 1901-2010. The results show that all the three gridded data sets underestimated the observed precipitation at annual and monthly scales, especially in mountainous areas. Both GPCC and WM underestimated seasonal precipitation, especially for spring precipitation. Among the three gridded data sets, GPCC had the highest correlation and lowest bias compared with CRU and WM when against the OBS. WM had a higher correlation than that of CRU, and its bias was larger than that of CRU. In terms of the drought and heavy rainfall events, CRU had the best performance in capturing drought events, and GPCC was best at representing heavy rainfall events. These differences in the performances between the three gridded data sets were primarily induced by their different interpolation methods and the numbers of available meteorological stations used in the interpolations of the three gridded data sets. Therefore, compared to the other two data sets, GPCC is more suitable for studies of long-term precipitation variations over central Asia.
资助项目	National Science Foundation of China[41361140361] ; National Science Foundation of China[41761144079] ; National Science Foundation of China[41471340] ; Chinese Academy of Sciences[2015-XBQN-B-20] ; Hong Kong Research Grants Council (RGC)[HKBU 12303517] ; Hong Kong Scholars Program ; Hong Kong Research Grants Council Early Career Scheme[HKBU 22301916] ; Swedish VR ; STINT ; BECC ; MERGE
WOS关键词	LAND-SURFACE PRECIPITATION ; AIR-TEMPERATURE ; SATELLITE ; PRODUCTS ; TOPOGRAPHY ; REANALYSIS ; RESOLUTION ; CLIMATE ; REGION ; ERROR
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	WILEY
WOS记录号	WOS:000439794000001
资助机构	National Science Foundation of China ; Chinese Academy of Sciences ; Hong Kong Research Grants Council (RGC) ; Hong Kong Scholars Program ; Hong Kong Research Grants Council Early Career Scheme ; Swedish VR ; STINT ; BECC ; MERGE
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54499]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhou, Qiming; Chen, Xi
作者单位	1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 2.Hong Kong Baptist Univ, Dept Geog, Kowloon Tong, Hong Kong, Peoples R China 3.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China 4.Univ Gothenburg, Dept Earth Sci, Gothenburg, Sweden 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 6.Xinjiang Univ, Coll Informat Sci & Engn, Urumqi, Peoples R China
推荐引用方式 GB/T 7714	Hu, Zengyun,Zhou, Qiming,Chen, Xi,et al. Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(9):3475-3493.
APA	Hu, Zengyun.,Zhou, Qiming.,Chen, Xi.,Li, Jianfeng.,Li, Qingxiang.,...&Yin, Gang.(2018).Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(9),3475-3493.
MLA	Hu, Zengyun,et al."Evaluation of three global gridded precipitation data sets in central Asia based on rain gauge observations".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.9(2018):3475-3493.