Progressing emergent constraints on future climate change

被引:263
|
作者
Hall, Alex [1 ]
Cox, Peter [2 ]
Huntingford, Chris [3 ]
Klein, Stephen [4 ]
机构
[1] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[2] Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England
[3] Ctr Ecol & Hydrol, Wallingford, Oxon, England
[4] Lawrence Livermore Natl Lab, PCMDI, Livermore, CA USA
基金
欧洲研究理事会; 美国国家科学基金会;
关键词
OPTICAL DEPTH FEEDBACK; CARBON-CYCLE FEEDBACKS; EARLY-WARNING SIGNALS; CLOUD FEEDBACK; SEA-ICE; MODEL SENSITIVITY; SEASONAL CYCLE; CMIP5; VARIABILITY; PROJECTIONS;
D O I
10.1038/s41558-019-0436-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In recent years, an evaluation technique for Earth System Models (ESMs) has arisen-emergent constraints (ECs)-which rely on strong statistical relationships between aspects of current climate and future change across an ESM ensemble. Combining the EC relationship with observations could reduce uncertainty surrounding future change. Here, we articulate a framework to assess ECs, and provide indicators whereby a proposed EC may move from a strong statistical relationship to confirmation. The primary indicators are verified mechanisms and out-of-sample testing. Confirmed ECs have the potential to improve ESMs by focusing attention on the variables most relevant to climate projections. Looking forward, there may be undiscovered ECs for extremes and teleconnections, and ECs may help identify climate system tipping points.
引用
收藏
页码:269 / 278
页数:10
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