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

CCPortal

DOI	10.1016/j.atmosres.2020.105365
	Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya
	Chen Y.; Sharma S.; Zhou X.; Yang K.; Li X.; Niu X.; Hu X.; Khadka N.
发表日期	2020
ISSN	0169-8095
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°, 0.25°, 0.1°, and 0.1°, 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. © 2020 The Authors
英文关键词	ERA; HAR; Nepal; Precipitation; Reanalysis datasets; Spatial pattern
语种	英语
scopus关键词	Meteorology; High-resolution datasets; Mountainous regions; Orographic precipitation; Precipitation patterns; Precipitation products; Seasonal precipitations; Spatial characteristics; Spatial performance; Earth atmosphere
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/162032
作者单位	National Tibetan Plateau Data Center, Key Laboratory of Tibetan Environmental Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Ministry of Education Key Laboratory for Earth System Modeling and Center for Earth System Science, Tsinghua University, Beijing, 100084, China; Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China
推荐引用方式 GB/T 7714	Chen Y.,Sharma S.,Zhou X.,et al. Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya[J],2020.
APA	Chen Y..,Sharma S..,Zhou X..,Yang K..,Li X..,...&Khadka N..(2020).Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya.Atmospheric Research.
MLA	Chen Y.,et al."Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya".Atmospheric Research (2020).