气候变化领域集成服务门户(CCPortal): CWRF performance at downscaling China climate characteristics

CCPortal

DOI	10.1007/s00382-018-4257-5
	CWRF performance at downscaling China climate characteristics
	Liang X.-Z.; Sun C.; Zheng X.; Dai Y.; Xu M.; Choi H.I.; Ling T.; Qiao F.; Kong X.; Bi X.; Song L.; Wang F.
发表日期	2019
ISSN	0930-7575
起始页码	2159
结束页码	2184
卷号	52 期号:2020-03-04
英文摘要	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 30 km 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. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	CWRF; Diurnal temperature range; Downscaling performance; Extreme precipitation; Regional climate model; Surface wind
语种	英语
scopus关键词	air temperature; climate modeling; diurnal variation; downscaling; geographical distribution; precipitation intensity; regional climate; weather forecasting; China
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146531
作者单位	Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, 5825 University Research Court, Suite 4001, College Park, MD 20740, United States; Climate, Environment and Sustainability Center, School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China; College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; School of Atmospheric Sciences, Sun Yat-Sen University, Guangzhou, China; Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Department of Civil Engineering, Yeungnam University, Gyeongsan, South Korea; Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecasting Center, Beijing, China; Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China; Climate Change Research...
推荐引用方式 GB/T 7714	Liang X.-Z.,Sun C.,Zheng X.,et al. CWRF performance at downscaling China climate characteristics[J],2019,52(2020-03-04).
APA	Liang X.-Z..,Sun C..,Zheng X..,Dai Y..,Xu M..,...&Wang F..(2019).CWRF performance at downscaling China climate characteristics.Climate Dynamics,52(2020-03-04).
MLA	Liang X.-Z.,et al."CWRF performance at downscaling China climate characteristics".Climate Dynamics 52.2020-03-04(2019).