European temperatures in CMIP5: origins of present-day biases and future uncertainties

被引:157
作者
Cattiaux, Julien [1 ]
Douville, Herve [1 ]
Peings, Yannick [1 ]
机构
[1] UMR CNRS Meteo France, CNRM GAME, F-31057 Toulouse, France
关键词
Global climate models; Model evaluation; Climate sensitivity; European temperatures; North-Atlantic dynamics; NORTH-ATLANTIC OSCILLATION; MODEL SIMULATIONS; WEATHER REGIMES; CLIMATE-CHANGE; CIRCULATION; EXTREMES;
D O I
10.1007/s00382-013-1731-y
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
European temperatures and their projected changes under the 8.5 W/m(2) Representative Concentration Pathway scenario are evaluated in an ensemble of 33 global climate models participating in the fifth phase of the Coupled Model Intercomparison Project (CMIP5). Respective contributions of large-scale dynamics and local processes to both biases and changes in temperatures, and to the inter-model spread, are then investigated from a recently proposed methodology based on weather regimes. On average, CMIP5 models exhibit a cold bias in winter, especially in Northern Europe. They overestimate summer temperatures in Central Europe, in association with a greater diurnal range than observed. The projected temperature increase is stronger in summer than in winter, with the highest summer warming occurring over Mediterranean regions. Links between biases and sensitivities are evidenced in winter, suggesting a potential influence of snow cover biases on the projected surface warming. A brief analysis of daily temperature extremes suggests that the intra-seasonal variability is projected to decrease (slightly increase) in winter (summer). Then, in order to understand model discrepancies in both present-day and future climates, we disentangle effects of large-scale atmospheric dynamics and regional physical processes. In particular, in winter, CMIP5 models simulate a stronger North-Atlantic jet stream than observed and, in contrast with CMIP3 results, the majority of them suggests an increased frequency of the negative phase of the North-Atlantic Oscillation under future warming. While large-scale circulation only has a minor contribution to ensemble-mean biases or changes, which are primarily dominated by non-dynamical processes, it substantially affects the inter-model spread. Finally, other sources of uncertainties, including the North-Atlantic warming and local radiative feedbacks related to snow cover and clouds, are briefly discussed.
引用
收藏
页码:2889 / 2907
页数:19
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