gchange  > 气候变化事实与影响
Scopus ID: 2-s2.0-85047204101
Title:
CWRF performance at downscaling China climate characteristics
Author: 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.
Source Publication: Climate Dynamics
ISSN: 9307575
Indexed By: SCI ; SCI-E
Publishing Year: 2019
Volume: 52, Issue:2019-03-04
pages begin: 2159
pages end: 2184
Language: 英语
Keyword: CWRF ; Diurnal temperature range ; Downscaling performance ; Extreme precipitation ; Regional climate model ; Surface wind
English Abstract: 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.
Document Type: 期刊论文
Identifier: http://119.78.100.177/globalchange/handle/2HF3EXSE/122402
Appears in Collections:气候变化事实与影响

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Affiliation: 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 Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; National Climate Center, China Meteorological Administration, Beijing, China

Recommended Citation:
Liang X.-Z.,Sun C.,Zheng X.,et al. CWRF performance at downscaling China climate characteristics[J]. Climate Dynamics,2019-01-01,52(2019-03-04)
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