CMIP5全球气候模式对青藏高原地区气候模拟能力评估

被引:84
作者
胡芩 [1 ,2 ]
姜大膀 [1 ,3 ]
范广洲 [2 ]
机构
[1] 中国科学院大气物理研究所竺可桢—南森国际研究中心
[2] 成都信息工程学院
[3] 中国科学院气候变化研究中心
关键词
CMIP5模式; 青藏高原; 评估;
D O I
暂无
中图分类号
P462 [气候类型];
学科分类号
摘要
青藏高原是气候变化的敏感和脆弱区,全球气候模式对于这一地区气候态的模拟能力如何尚不清楚。为此,本文使用国际耦合模式比较计划第五阶段(CMIP5)的历史模拟试验数据,评估了44个全球气候模式对1986~2005年青藏高原地区地表气温和降水两个基本气象要素的模拟能力。结果表明,CMIP5模式低估了青藏高原地区年和季节平均地表气温,年均平均偏低2.3°C,秋季和冬季冷偏差相对更大;模式可较好地模拟年和季节平均地表气温分布型,但模拟的空间变率总体偏大;地形效应校正能够有效订正地表气温结果。CMIP5模式对青藏高原地区降水模拟能力较差。尽管它们能够模拟出年均降水自西北向东南渐增的分布型,但模拟的年和季节降水量普遍偏大,年均降水平均偏多1.3 mm d-1,这主要是源于春季和夏季降水被高估。同时,模式模拟的年和季节降水空间变率也普遍大于观测值,尤其表现在春季和冬季。相比较而言,44个模式集合平均性能总体上要优于大多数单个模式;等权重集合平均方案要优于中位数平均;对择优挑选的模式进行集合平均能够提高总体的模拟能力,其中对降水模拟的改进更为显著。
引用
收藏
页码:924 / 938
页数:15
相关论文
共 27 条
[1]   CMIP5模式对中国年平均气温模拟及其与CMIP3模式的比较 [J].
郭彦 ;
董文杰 ;
任福民 ;
赵宗慈 ;
黄建斌 .
气候变化研究进展, 2013, 9 (03) :181-186
[2]  
Changes in precipitation and extreme precipitation in a warming environment in China[J]. SUN JianQi,AO Juan.Chinese Science Bulletin. 2013(12)
[3]   Projected change in extreme rainfall events in China by the end of the 21st century using CMIP5 models [J].
Chen HuoPo .
CHINESE SCIENCE BULLETIN, 2013, 58 (12) :1462-1472
[4]   Changes in mean and extreme climates over China with a 2℃ global warming [J].
LANG XianMei ;
SUI Yue .
Chinese Science Bulletin, 2013, 58 (12) :1453-1461
[5]   一套格点化的中国区域逐日观测资料及与其它资料的对比 [J].
吴佳 ;
高学杰 .
地球物理学报, 2013, 56 (04) :1102-1111
[6]  
Preliminary Assessment of Simulations of Climate Changes over China by CMIP5 Multi-Models[J]. XU Ying 1,3 , XU Chong-Hai 2,3 1 National Climate Center, China Meteorological Administration, Beijing 100081, China 2 Meteorological Observation Centre, China Meteorological Administration, Beijing 100081, China 3 Laboratory for Climate Studies, China Meteorological Administration, Beijing 100081, China.Atmospheric and Oceanic Science Letters. 2012(06)
[7]  
A high resolution simulation of climate change over China[J]. Filippo GIORGI.Science China(Earth Sciences). 2011(03)
[8]  
Regional differences in the timing of recent air warming during the past four decades in China[J]. WANG ShaoPeng1,2,WANG ZhiHeng1,PIAO ShiLong1 & FANG JingYun1* 1 Department of Ecology,College of Urban and Environmental Sciences,and Climate Change Research Center,Peking University,Beijing 100871,China;2 School of Mathematical Sciences,Peking University,Beijing 100871,China.Chinese Science Bulletin. 2010(19)
[9]   Impacts of thermodynamic processes over the Tibetan Plateau on the Northern Hemispheric climate [J].
Zhou XiuJi ;
Zhao Ping ;
Chen JunMing ;
Chen LongXun ;
Li WeiLiang .
SCIENCE IN CHINA SERIES D-EARTH SCIENCES, 2009, 52 (11) :1679-1693
[10]  
Ensemble projection of 1―3℃ warming in China[J]. JIANG DaBang1,2,3, ZHANG Ying1,4 & SUN JianQi1,3 1 Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;2 Max Planck Institute for Biogeochemistry, Jena D-07745, Germany;3 Climate Change Research Center, Chinese Academy of Sciences, Beijing 100029, China;4 Graduate University of Chinese Academy of Sciences, Beijing 100049, China.Chinese Science Bulletin. 2009(18)