Arid
DOI10.1016/j.jhydrol.2020.125660
Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland
Jiang, Qin; Li, Weiyue; Fan, Zedong; He, Xiaogang; Sun, Weiwei; Chen, Sheng; Wen, Jiahong; Gao, Jun; Wang, Jun
通讯作者Wang, J (corresponding author), East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China. ; Li, WY (corresponding author), Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China.
来源期刊JOURNAL OF HYDROLOGY
ISSN0022-1694
EISSN1879-2707
出版年2021
卷号595
英文摘要Reanalysis precipitation products are important datasets for precipitation estimates over ungauged areas. The objective of this study was to evaluate the accuracy of the newly released fifth-generation reanalysis product of the European Centre for Medium Range Weather Forecasts (ECMWF), i.e., ERA5, for precipitation estimates over Chinese Mainland during 2003-2015. In this study, we evaluated the ERA5 reanalysis data using gridded gauge precipitation. Both categorical and continuous verification scores were calculated. The results show that the detection capacity of ERA5 varies across the four sub-regions of Chinese Mainland. ERA5 tends to misdetect daily precipitation events in the south of the northwestern arid climate (NAC) and north of plateau climate (PC) zones. In addition, it is more difficult for ERA5 to accurately detect moderate or higher daily precipitation events (above 10 mm/day). Error analysis show that ERA5 product has higher root mean-square error (RMSE) values in the tropical and subtropical climate zone (TSC) with a relatively wet climate. Compared to satellite-based precipitation product, ERA5 has larger relative biases in precipitation estimates over Chinese Mainland and it tends to over- and underestimate light precipitation events and moderate and heavy precipitation events, respectively. Based on the analysis of the accuracy of ERA5 during typhoon-induced extreme precipitation, ERA5 can identify the precipitation distribution and center, but underestimates extreme precipitation. Overall, the results of this study provide references for the use of ERA5 in hydrological applications over Chinese Mainland.
英文关键词ERA5 Reanalysis precipitation dataset Accuracy evaluation Typhoon extreme precipitation Chinese Mainland
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000641592600009
WOS关键词GLOBAL PRECIPITATION ; ECMWF REANALYSIS ; TIBETAN PLATEAU ; CLIMATE-CHANGE ; NCEP-CFSR ; SATELLITE ; PRODUCTS ; INTERIM ; MULTISATELLITE ; GPM
WOS类目Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向Engineering ; Geology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/368871
作者单位[Jiang, Qin; Wang, Jun] East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai 200241, Peoples R China; [Jiang, Qin; Wang, Jun] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China; [Li, Weiyue; Fan, Zedong; Wen, Jiahong; Gao, Jun] Shanghai Normal Univ, Sch Environm & Geog Sci, Shanghai 200234, Peoples R China; [Li, Weiyue] Shanghai Normal Univ, Inst Urban Studies, Shanghai 200234, Peoples R China; [Li, Weiyue] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China; [He, Xiaogang] Stanford Univ, Woods Inst Environm, Water West, Stanford, CA 94305 USA; [Sun, Weiwei] Ningbo Univ, Dept Geog & Spatial Informat Tech, Ningbo 315211, Peoples R China; [Chen, Sheng] Sun Yat Sen Univ, Minist Educ, Sch Atmospher Sci, Zhuhai 519000, Peoples R China; [Chen, Sheng] Sun Yat Sen Univ, Minist Educ, Key Lab Trop Atmosphere Ocean Syst, Zhuhai 519000, Peoples R China; [Chen, Sheng] Southern Lab Ocean Sci & Engn, Zhuhai, Guangdong, Peoples R China
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Jiang, Qin,Li, Weiyue,Fan, Zedong,et al. Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland[J],2021,595.
APA Jiang, Qin.,Li, Weiyue.,Fan, Zedong.,He, Xiaogang.,Sun, Weiwei.,...&Wang, Jun.(2021).Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland.JOURNAL OF HYDROLOGY,595.
MLA Jiang, Qin,et al."Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland".JOURNAL OF HYDROLOGY 595(2021).
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