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8个CMIP5模式对中国极端气温的模拟和预估
引用本文:姚遥,罗勇,黄建斌.8个CMIP5模式对中国极端气温的模拟和预估[J].气候变化研究进展,2012,8(4):250-256.
作者姓名:姚遥  罗勇  黄建斌
作者单位:1.南京信息工程大学/气象灾害省部共建教育部重点实验室;2.中国气象局国家气候中心;3.清华大学地球系统数值模拟教育部重点实验室/清华大学地球系统科学研究中心
基金项目:国家重点基础研究发展计划
摘    要:利用8个耦合模式比较计划第五阶段(CMIP5)模式结果,采用加权平均方法进行多模式集合,并与NCEP再分析资料进行对比分析,评估了CMIP5模式对中国极端气温的模拟效果,在此基础上,对未来极端气温进行预估。CMIP5模式对中国8个极端气温指数和20年一遇最高(低)气温有模拟能力,所有极端气温指数模拟和观测结果的时间相关均达到0.10显著性水平,20年一遇最高、最低气温模拟和观测结果空间相关系数均超过0.98。在中等排放RCP4.5情景下,未来中国极暖(冷)日数增多(减少),到21世纪中期热浪指数增加2.6倍,到21世纪末期寒潮指数减少71%,20年一遇最高(低)气温在中国地区均呈现升高趋势,局部升温幅度达到4℃。

关 键 词:CMIP5  极端气温  RCP4.5情景  重现期  预估

Evaluation and Projection of Temperature Extremes over China Based on 8 Modeling Data from CMIP5
Yao Yao , Luo Yong , Huang Jian bin.Evaluation and Projection of Temperature Extremes over China Based on 8 Modeling Data from CMIP5[J].Advances in Climate Change,2012,8(4):250-256.
Authors:Yao Yao  Luo Yong  Huang Jian bin
Institution:1 Nanjing University of Information Science and Technology/Key Laboratory of Meteorological Disaster,Ministry of Education,Nanjing 210044,China;2 National Climate Center,China Meteorological Administration,Beijing 100081,China;3 Key Laboratory of Ministry of Education for Earth System Modeling / Center for Earth System Science,Tsinghua University,Beijing 100084,China
Abstract:Evaluation and projection of temperature extremes over China are carried out with 8 model data from CMIP5.Compared with the NCEP reanalysis data,multi-model weighted ensemble has a capacity of reproducing the 8 temperature extreme indices and 20-year return values of annual maximum/minimum temperature.The time correlation coefficients of all the 8 indices between multi-model ensemble and the reanalysis can reach 0.10 significance level and the spatial correlation coefficients of 20-year return values of annual maximum/minimum temperature are greater than 0.98.Under the RCP4.5 scenario,more extreme warm and less cold events are expected over China in multi-model ensemble.By the middle of the 21st century,the heat wave duration index will be multiplied 2.6 times.At the end of the 21st century,the cold wave duration index will decrease 71%,and the 20-year return values will increase 4℃ in parts of China for the maximum/minimum temperature.
Keywords:CMIP5  temperature extremes  RCP4  5 scenario  return period  projection
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