CWRF performance at downscaling China climate characteristics

doi:10.1007/s00382-018-4257-5

GSTDTAP > 气候变化

DOI	10.1007/s00382-018-4257-5
	CWRF performance at downscaling China climate characteristics
	Liang, Xin-Zhong 1,2,3; Sun, Chao 1,2; Zheng, Xiaohui 2,4; Dai, Yongjiu 5; Xu, Min 6; Choi, Hyun I.7; Ling, Tiejun 8; Qiao, Fengxue 9; Kong, Xianghui 10; Bi, Xunqiang 10; Song, Lianchun 11; Wang, Fang 11
	2019-02-01
发表期刊	CLIMATE DYNAMICS
ISSN	0930-7575
EISSN	1432-0894
出版年	2019
卷号	52 页码:2159-2184
文章类型	Article
语种	英语
国家	USA; Peoples R China; South Korea
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 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.
英文关键词	Regional climate model Downscaling performance Extreme precipitation Diurnal temperature range Surface wind CWRF
领域	气候变化
收录类别	SCI-E
WOS记录号	WOS:000460902200050
WOS关键词	MODELING SYSTEM RIEMS ; EAST-ASIA ; MONSOON PRECIPITATION ; SUMMER PRECIPITATION ; PART I ; CUMULUS PARAMETERIZATION ; SURFACE-TEMPERATURE ; US PRECIPITATION ; EXTREME EVENTS ; BOUNDARY-LAYER
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/36426
专题	气候变化
作者单位	1.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA; 2.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, 5825 Univ Res Court,Suite 4001, College Pk, MD 20740 USA; 3.Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Climate Environm & Sustainabil Ctr, Nanjing, Jiangsu, Peoples R China; 4.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China; 5.Sun Yat Sen Univ, Sch Atmospher Sci, Guangzhou, Guangdong, Peoples R China; 6.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; 7.Yeungnam Univ, Dept Civil Engn, Gyongsan, South Korea; 8.Natl Marine Environm Forecasting Ctr, Key Lab Res Marine Hazards Forecasting, Beijing, Peoples R China; 9.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China; 10.Chinese Acad Sci, Inst Atmospher Phys, Climate Change Res Ctr, Beijing, Peoples R China; 11.China Meteorol Adm, Natl Climate Ctr, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Liang, Xin-Zhong,Sun, Chao,Zheng, Xiaohui,et al. CWRF performance at downscaling China climate characteristics[J]. CLIMATE DYNAMICS,2019,52:2159-2184.
APA	Liang, Xin-Zhong.,Sun, Chao.,Zheng, Xiaohui.,Dai, Yongjiu.,Xu, Min.,...&Wang, Fang.(2019).CWRF performance at downscaling China climate characteristics.CLIMATE DYNAMICS,52,2159-2184.
MLA	Liang, Xin-Zhong,et al."CWRF performance at downscaling China climate characteristics".CLIMATE DYNAMICS 52(2019):2159-2184.