Chinese Contribution to CMIP5:An Overview of Five Chinese Models' Performances

被引:23
作者
周天军 [1 ,2 ]
陈晓龙 [1 ,3 ]
董璐 [1 ,3 ]
吴波 [1 ]
满文敏 [1 ]
张丽霞 [1 ]
林壬萍 [1 ,3 ]
姚隽琛 [1 ,3 ]
宋丰飞 [1 ,3 ]
赵崇博 [4 ]
机构
[1] State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences
[2] Climate Change Research Center, Chinese Academy of Sciences
[3] University of the Chinese Academy of Sciences
[4] Laboratory for Climate Studies,National Climate Center, China Meteorological Administration
基金
中国国家自然科学基金;
关键词
CMIP5; Chinese models; seasonal cycle; MJO; GPI; ENSO; PDO; global monsoon; Asian monsoon; global warming; climate sensitivity;
D O I
暂无
中图分类号
P467 [气候变化、历史气候];
学科分类号
0706 ; 070601 ;
摘要
An overview of Chinese contribution to Coupled Model Intercomparison Project–Phase 5(CMIP5) is presented. The performances of five Chinese Climate/Earth System Models that participated in the CMIP5 project are assessed in the context of climate mean states, seasonal cycle, intraseasonal oscillation, interannual variability, interdecadal variability, global monsoon, Asian-Australian monsoon, 20th-century historical climate simulation, climate change projection, and climate sensitivity. Both the strengths and weaknesses of the models are evaluated. The models generally show reasonable performances in simulating sea surface temperature(SST) mean state, seasonal cycle, spatial patterns of Madden–Julian oscillation(MJO) amplitude and tropical cyclone Genesis Potential Index(GPI), global monsoon precipitation pattern, El Nio–Southern Oscillation(ENSO), and Pacific Decadal Oscillation(PDO) related SST anomalies. However, the performances of the models in simulating the time periods, amplitude, and phase locking of ENSO, PDO time periods, GPI magnitude, MJO propagation, magnitude of SST seasonal cycle, northwestern Pacific monsoon and North American monsoon domains, as well as the skill of large-scale Asian monsoon precipitation need to be improved. The model performances in simulating the time evolution and spatial pattern of the20th-century global warming and the future change under representative concentration pathways projection are compared to the multimodel ensemble of CMIP5 models. The model discrepancies in terms of climate sensitivity are also discussed.
引用
收藏
页码:481 / 509
页数:29
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