Could CMIP6 climate models reproduce the early-2000s global warming slowdown?

被引:0
|
作者
Meng WEI [1 ,2 ,3 ]
Qi SHU [1 ,2 ,3 ]
Zhenya SONG [1 ,2 ,3 ]
Yajuan SONG [1 ,2 ,3 ]
Xiaodan YANG [1 ,2 ,3 ]
Yongqing GUO [4 ]
Xinfang LI [1 ,2 ,3 ]
Fangli QIAO [1 ,2 ,3 ]
机构
[1] First Institute of Oceanography, and Key Laboratory of Marine Science and Numerical Modeling, Ministry of Natural Resources
[2] Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology
[3] Shandong Key Laboratory of Marine Science and Numerical Modeling
[4] Marine Science and Technology College, Zhejiang Ocean University
基金
中国国家自然科学基金;
关键词
CMIP6 climate models; Global warming; Global warming slowdown; Hiatus; Climate natural variability; Anthropogenic warming trend;
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
The unexpected global warming slowdown during 1998–2013 challenges the existing scientific understanding of global temperature change mechanisms, and thus the simulation and prediction ability of state-of-the-art climate models since most models participating in phase 5 of the Coupled Model Intercomparison Project(CMIP5) cannot simulate it. Here, we examine whether the new-generation climate models in CMIP6 can reproduce the recent global warming slowdown, and further evaluate their capacities for simulating key-scale natural variabilities which are the most likely causes of the slowdown. The results show that although the CMIP6 models present some encouraging improvements when compared with CMIP5, most of them still fail to reproduce the warming slowdown. They considerably overestimate the warming rate observed in 1998–2013,exhibiting an obvious warming acceleration rather than the observed deceleration. This is probably associated with their deficiencies in simulating the distinct temperature change signals from the human-induced long-term warming trend and/or the three crucial natural variabilities at interannual, interdecadal, and multidecadal scales. In contrast, the 4 models that can successfully reproduce the slowdown show relatively high skills in simulating the long-term warming trend and the three keyscale natural variabilities. Our work may provide important insight for the simulation and prediction of near-term climate changes.
引用
收藏
页码:853 / 865
页数:13
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