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Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya

文献类型：期刊论文

作者Chen, Yingying5,6; Sharma, Shankar4,6; Zhou, Xu6; Yang, Kun2,3,6; Li, Xin5,6; Niu, Xiaolei6; Hu, Xin4,6; Khadka, Nitesh1,4
刊名ATMOSPHERIC RESEARCH
出版日期2021-03-01
卷号250页码:12
ISSN号0169-8095
关键词Precipitation Spatial pattern Reanalysis datasets ERA HAR Nepal
DOI10.1016/j.atmosres.2020.105365
通讯作者Chen, Yingying(chenyy@itpcas.ac.cn)
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.
WOS关键词DATA SETS ; PRODUCTS ; NEPAL ; VARIABILITY ; RAINFALL ; MONSOON ; WEATHER ; STORMS ; ASIA
资助项目Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0206] ; National Natural Science Foundation of China[41871280] ; National Natural Science Foundation of China[41471286] ; 13th five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-06]
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER SCIENCE INC
WOS记录号WOS:000612173700003
资助机构Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; National Natural Science Foundation of China ; 13th five-year Informatization Plan of Chinese Academy of Sciences
源URL[http://ir.imde.ac.cn/handle/131551/55978]  
专题中国科学院水利部成都山地灾害与环境研究所
通讯作者Chen, Yingying
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
2.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China
3.Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
6.Chinese Acad Sci, Natl Tibetan Plateau Data Ctr, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China
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]. ATMOSPHERIC RESEARCH,2021,250:12.
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,250,12.
MLA Chen, Yingying,et al."Spatial performance of multiple reanalysis precipitation datasets on the southern slope of central Himalaya".ATMOSPHERIC RESEARCH 250(2021):12.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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