气候变化领域集成服务门户(CCPortal): Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya

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DOI	10.1016/j.atmosres.2020.105365
	Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya
	Chen, Yingying; Sharma, Shankar; Zhou, Xu; Yang, Kun; Li, Xin; Niu, Xiaolei; Hu, Xin; Khadka, Nitesh
通讯作者	Chen, YY (通讯作者)
发表日期	2021
ISSN	0169-8095
EISSN	1873-2895
卷号	250
英文摘要	The performance of gridded precipitation products is especially important over mountainous regions because of the lack of observations. This study provides a detailed evaluation of the spatial precipitation patterns presented by the ERA-Interim, ERA5, ERA5-Land, and refined HAR datasets with spatial resolutions from coarse to fine (0.7 degrees, 0.25 degrees, 0.1 degrees, and 0.1 degrees, respectively) over the southern slope of central Himalaya, Nepal. The major findings are as follows: (1) The high-resolution ERA5-Land and ERA5 datasets well present the observed spatial pattern of precipitation but with a generally overestimated amount; the refined HAR dataset also presents many fine-scale details, while the coarse resolution ERA-Interim dataset tends to exhibit a too gentle spatial characteristic in mountainous Nepal. (2) The four datasets well reproduce the seasonal precipitation variation (R > 0.90) over the country; however, their performance varies spatially across the western, central, and eastern regions. The spatial resolution is also important in representing the terrain blocking of water vapor from the Bay of Bengal, which is transported from east to west in Nepal. (3) The high-resolution datasets can reproduce the elevation dependency as revealed by the observed dataset, while the coarse-resolution cannot capture the elevation dependency in the high-elevation regions. Moreover, all four datasets show very similar performance in low-elevation plane areas, however, higher resolution simulations (ERA5, ERA5-Land, and HAR) better reflect blocking effect of orographic precipitation and outperform ERA-Interim in high-elevation areas where the terrain is very complex and the slope is very steep.
关键词	DATA SETS PRODUCTS NEPAL VARIABILITY RAINFALL MONSOON WEATHER STORMS ASIA
英文关键词	Precipitation; Spatial pattern; Reanalysis datasets; ERA; HAR; Nepal
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Meteorology & Atmospheric Sciences
WOS记录号	WOS:000612173700003
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/260348
推荐引用方式 GB/T 7714	Chen, Yingying,Sharma, Shankar,Zhou, Xu,et al. Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya[J]. 中国科学院青藏高原研究所,2021,250.
APA	Chen, Yingying.,Sharma, Shankar.,Zhou, Xu.,Yang, Kun.,Li, Xin.,...&Khadka, Nitesh.(2021).Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya.ATMOSPHERIC RESEARCH,250.
MLA	Chen, Yingying,et al."Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya".ATMOSPHERIC RESEARCH 250(2021).