Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia

被引:170
|
作者
Miao, Chiyuan [1 ]
Duan, Qingyun [1 ]
Sun, Qiaohong [1 ]
Huang, Yong [2 ]
Kong, Dongxian [1 ]
Yang, Tiantian [3 ]
Ye, Aizhong [1 ]
Di, Zhenhua [1 ]
Gong, Wei [1 ]
机构
[1] Beijing Normal Univ, Coll Global Change & Earth Syst Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[2] Minist Environm Protect, Appraisal Ctr Environm & Engn, Beijing 100012, Peoples R China
[3] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA 92697 USA
来源
ENVIRONMENTAL RESEARCH LETTERS | 2014年 / 9卷 / 05期
基金
中国国家自然科学基金;
关键词
CMIP5; multi-model ensembles; Northern Eurasia; temperature; MULTIMODEL ENSEMBLE; FUTURE CLIMATE; YELLOW-RIVER; LAND-USE; RANGE; SCENARIOS; MORTALITY; IMPACTS; DROUGHT; STATE;
D O I
10.1088/1748-9326/9/5/055007
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assessing the performance of climate models in surface air temperature (SAT) simulation and projection have received increasing attention during the recent decades. This paper assesses the performance of the Coupled Model Intercomparison Project phase 5 (CMIP5) in simulating intra-annual, annual and decadal temperature over Northern Eurasia from 1901 to 2005. We evaluate the skill of different multi-model ensemble techniques and use the best technique to project the future SAT changes under different emission scenarios. The results show that most of the general circulation models (GCMs) overestimate the annual mean SAT in Northern Eurasia and the difference between the observation and the simulations primarily comes from the winter season. Most of the GCMs can approximately capture the decadal SAT trend; however, the accuracy of annual SAT simulation is relatively low. The correlation coefficient R between each GCM simulation and the annual observation is in the range of 0.20 to 0.56. The Taylor diagram shows that the ensemble results generated by the simple model averaging (SMA), reliability ensemble averaging (REA) and Bayesian model averaging (BMA) methods are superior to any single GCM output; and the decadal SAT change generated by SMA, REA and BMA are almost identical during 1901-2005. Heuristically, the uncertainty of BMA simulation is the smallest among the three multi-model ensemble simulations. The future SAT projection generated by the BMA shows that the SAT in Northern Eurasia will increase in the 21st century by around 1.03 degrees C/100 yr, 3.11 degrees C/100 yr and 7.14 degrees C/100 yr under the RCP 2.6, RCP 4.5 and RCP 8.5 scenarios, respectively; and the warming accelerates with the increasing latitude. In addition, the spring season contributes most to the decadal warming occurring under the RCP 2.6 and RCP 4.5 scenarios, while the winter season contributes most to the decadal warming occurring under the RCP 8.5 scenario. Generally, the uncertainty of the SAT projections increases with time in the 21st century.
引用
收藏
页数:12
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