干旱区生态环境知识资源中心(Arid): Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China

Arid

DOI	10.1016/j.atmosres.2019.104818
	Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China
	Yao, Junqiang 1,2; Chen, Yaning2 ; Yu, Xiaojing 1; Zhao, Yong 3; Guan, Xuefeng 4; Yang, Lianmei 1
通讯作者	Chen, Yaning ; Yu, Xiaojing
来源期刊	ATMOSPHERIC RESEARCH
ISSN	0169-8095
EISSN	1873-2895
出版年	2020
卷号	236
英文摘要	Gridded precipitation datasets for the arid region of northwestern China (ARNC) are thought to have large discrepancies. This study systematically evaluated the performance of multiple datasets for the ARNC over the period 1980-2014 using the observed gridded precipitation dataset (OBS) from the China Meteorological Administration (CMA). The various datasets include two National Center for Environmental Prediction (NCEP) reanalyses (NCEP-1 and NCEP-2), two Climate Prediction Center (CPC) Merged Analyses of Precipitation (CMAP- 1 and CMAP-2), the Interim European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA-Interim), the Global Precipitation Climatology Project (GPCP), the Climatic Research Unit, University of East Anglia, UK (CRU), and the second Modern-Era Retrospective Analysis for Research and Application system (MERRA-2). The results show that all the multiple datasets reasonably reproduce the climatology, seasonality, interannual variability, and spatiotemporal patterns of ARNC precipitation, but there are discrepancies in the long-term trends. MERRA-2 and CMAP-2 best capture the spatial distributions and inter-annual variability of mean annual precipitation (MAP). CRU best reproduced the seasonally and temporal variability of MAP. However, ERA-Interim and NCEP overestimated the precipitation amount in mountainous regions, and MERRA- 2 underestimated precipitation in almost all seasons. Empirical orthogonal function (EOF) analysis indicated that GPCP and CMAP-2 better described both the spatial modes and principal components of the first two EOF patterns. The systematic evaluation in this study indicated that, overall, most of the satellite-merged datasets (GPCP, MERRA-2, and CMAP-2) perform better than gauge-based and reanalysis datasets alone. This study demonstrates that a systematic evaluation of the differences between multiple datasets is critical for reducing discrepancies.
英文关键词	Gridded precipitation Multiple datasets Systematically evaluate Arid region of northwestern China (ARNC)
类型	Article
语种	英语
国家	Peoples R China ; Germany
收录类别	SCI-E
WOS记录号	WOS:000525322900011
WOS关键词	GLOBAL PRECIPITATION ; CLIMATE-CHANGE ; GAUGE OBSERVATIONS ; TARIM BASIN ; DATA SETS ; REANALYSIS ; PRODUCTS ; XINJIANG ; RAINFALL ; IMPACTS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319105
作者单位	1.China Meteorol Adm, Inst Desert Meteorol, Urumqi, Peoples R China; 2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China; 3.Chengdu Univ Informat Technol, Sch Atmospher Sci, Chengdu, Peoples R China; 4.Humboldt Univ, Geog Dept, Berlin, Germany
推荐引用方式 GB/T 7714	Yao, Junqiang,Chen, Yaning,Yu, Xiaojing,et al. Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China[J]. 中国科学院新疆生态与地理研究所,2020,236.
APA	Yao, Junqiang,Chen, Yaning,Yu, Xiaojing,Zhao, Yong,Guan, Xuefeng,&Yang, Lianmei.(2020).Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China.ATMOSPHERIC RESEARCH,236.
MLA	Yao, Junqiang,et al."Evaluation of multiple gridded precipitation datasets for the arid region of northwestern China".ATMOSPHERIC RESEARCH 236(2020).