Interannual to decadal climate predictability in the North Atlantic: A multimodel-ensemble study

被引:149
作者
Collins, M [1 ]
Botzet, A
Carril, AF
Drange, H
Jouzeau, A
Latif, M
Masina, S
Otteraa, OH
Pohlmann, H
Sorteberg, A
Sutton, R
Terray, L
机构
[1] Hadley Ctr, Met Off, Exeter EX1 3PB, Devon, England
[2] Max Planck Inst Meteorol, Hamburg, Germany
[3] Ist Nazl Geofis & Vulcanol, Bologna, Italy
[4] Nansen Environm & Remote Sensing Ctr, Bergen, Norway
[5] Bjerknes Ctr Climate Res, Bergen, Norway
[6] CERFACS, Toulouse, France
[7] Max Planck Inst Meteorol, Hamburg, Germany
[8] Leibniz Inst Meereswissensch, Kiel, Germany
[9] Dalhousie Univ, Dept Oceanog, Halifax, NS B3H 3J5, Canada
[10] Bjerknes Ctr Climate Res, Bergen, Norway
[11] Ctr Glogal Atmospher Modelling, Reading, Berks, England
基金
英国自然环境研究理事会;
关键词
D O I
10.1175/JCLI3654.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Ensemble experiments are performed with five coupled atmosphere-ocean models to investigate the potential for initial-value climate forecasts on interannual to decadal time scales. Experiments are started from similar model-generated initial states, and common diagnostics of predictability are used. We find that variations in the ocean meridional overturning circulation (MOC) are potentially predictable on interannual to decadal time scales, a more consistent picture of the surface temperature impact of decadal variations in the MOC is now apparent, and variations of surface air temperatures in the North Atlantic Ocean are also potentially predictable on interannual to decadal time scales. albeit with potential skill levels that are less than those seen for MOC variations. This intercomparison represents a step forward in assessing the robustness of model estimates of potential skill and is a prerequisite for the development of any operational forecasting system.
引用
收藏
页码:1195 / 1203
页数:9
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