期刊
CLIMATE DYNAMICS
卷 52, 期 3-4, 页码 2159-2184出版社
SPRINGER
DOI: 10.1007/s00382-018-4257-5
关键词
Regional climate model; Downscaling performance; Extreme precipitation; Diurnal temperature range; Surface wind; CWRF
资金
- U.S. National Science Foundation Innovations at the Nexus of Food, Energy and Water Systems [EAR-1639327]
- CMA/National Climate Center research subcontract [2212031635601]
- Chinese Scholar Council fellowship
- National Key Research and Development Program of China [2017YFA0604303]
- National Research Foundation of Korea [2017R1A2B4005232]
- National Natural Science Foundation of China (NSFC) [41376016]
- China Postdoctoral Science Foundation [2014M561437]
- NSFC [41575089, 41275077]
- National Research Foundation of Korea [2017R1A2B4005232] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
The performance of the regional Climate-Weather Research and Forecasting model (CWRF) for downscaling China climate characteristics is evaluated using a 1980-2015 simulation at 30km grid spacing driven by the ECMWF Interim reanalysis (ERI). It is shown that CWRF outperforms the popular Regional Climate Modeling system (RegCM4.6) in key features including monsoon rain bands, diurnal temperature ranges, surface winds, interannual precipitation and temperature anomalies, humidity couplings, and 95th percentile daily precipitation. Even compared with ERI, which assimilates surface observations, CWRF better represents the geographic distributions of seasonal mean climate and extreme precipitation. These results indicate that CWRF may significantly enhance China climate modeling capabilities.
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