DOI: 10.1007/s00382-015-2713-z
Scopus记录号: 2-s2.0-84933041628
论文题名: Evaluation of multiple regional climate models for summer climate extremes over East Asia
作者: Park C. ; Min S.-K. ; Lee D. ; Cha D.-H. ; Suh M.-S. ; Kang H.-S. ; Hong S.-Y. ; Lee D.-K. ; Baek H.-J. ; Boo K.-O. ; Kwon W.-T.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期: 2017-07-08 起始页码: 2469
结束页码: 2486
语种: 英语
英文关键词: Climate extremes
; CORDEX east asia
; Model evaluation
; Regional climate models
; Temperature and precipitation
英文摘要: In this study, five regional climate models (RCMs) participating in the CORDEX-East Asia project (HadGEM3-RA, RegCM4, SNU-MM5, SNU-WRF, and YSU-RSM) are evaluated in terms of their performances in simulating the climatology of summer extremes in East Asia. Seasonal maxima of daily mean temperature and precipitation are analyzed using the generalized extreme value method. RCMs show systematic bias patterns in both seasonal means and extremes. A cold bias is located along the coast, whereas a warm bias occurs in northern China. Overall, wet bias occurs in East Asia, but with a substantial dry bias centered in South Korea. This dry bias appears to be related to the colder ocean surface around South Korea, positioning the monsoonal front further south compared to observations. Taylor diagram analyses reveal that the models simulate temperature means more accurately compared to extremes because of the higher spatial correlation, whereas precipitation extremes are simulated better than their means because of the higher spatial variability. The latter implies that extreme rainfall events can be captured more accurately by RCMs compared to the driving GCM despite poorer simulation of mean rainfall. Inter-RCM analysis indicates a close relationship between the means and extremes in terms of model skills, but it does not show a clear relationship between temperature and precipitation. Sub-regional analysis largely supports the mean-extreme skill relationship. Analyses of frequency and intensity distributions of daily data for three selected sub-regions suggest that overall shifts of temperature distribution and biases in moderate- heavy precipitations contribute importantly to the seasonal mean biases. © Springer-Verlag Berlin Heidelberg 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53665
Appears in Collections: 过去全球变化的重建
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作者单位: School of Environmental Science and Engineering, Pohang University of Science and Technology, 77 Cheongam.Ro, Nam.Gu, Pohang, Gyeongbuk, South Korea; School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea; Department of Atmospheric Science, Kongju National University, Gongju, Chungnam, South Korea; National Institute of Meteorological Research, Seogwipo, Jeju, South Korea; Korea Institute of Atmospheric Prediction Systems, Seoul, South Korea; School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
Recommended Citation:
Park C.,Min S.-K.,Lee D.,et al. Evaluation of multiple regional climate models for summer climate extremes over East Asia[J]. Climate Dynamics,2016-01-01,46(2017-07-08)