Evaluation of multiple regional climate models for summer climate extremes over East Asia

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• 作者：Changyong Park ; Seung-Ki Min ; Donghyun Lee ; Dong-Hyun Cha…
• 关键词：Regional climate models ; Climate extremes ; CORDEX East Asia ; Model evaluation ; Temperature and precipitation
• 刊名：Climate Dynamics
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：46
• 期：7-8
• 页码：2469-2486
• 全文大小：7,051 KB
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• 作者单位：Changyong Park (1)
  Seung-Ki Min (1)
  Donghyun Lee (1)
  Dong-Hyun Cha (2)
  Myoung-Seok Suh (3)
  Hyun-Suk Kang (4)
  Song-You Hong (5)
  Dong-Kyou Lee (6)
  Hee-Jeong Baek (4)
  Kyung-On Boo (4)
  Won-Tae Kwon (4)
  
  1. School of Environmental Science and Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk, Korea
  2. School of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea
  3. Department of Atmospheric Science, Kongju National University, Gongju, Chungnam, Korea
  4. National Institute of Meteorological Research, Seogwipo, Jeju, Korea
  5. Korea Institute of Atmospheric Prediction Systems, Seoul, Korea
  6. School of Earth and Environmental Sciences, Seoul National University, Seoul, Korea
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geophysics and Geodesy
  Meteorology and Climatology
  Oceanography
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-0894

文摘

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.