Tuning the climate of a global model

被引:303
|
作者
Mauritsen, Thorsten [1 ]
Stevens, Bjorn [1 ]
Roeckner, Erich [1 ]
Crueger, Traute [1 ]
Esch, Monika [1 ]
Giorgetta, Marco [1 ]
Haak, Helmuth [1 ]
Jungclaus, Johann [1 ]
Klocke, Daniel [2 ]
Matei, Daniela [1 ]
Mikolajewicz, Uwe [1 ]
Notz, Dirk [1 ]
Pincus, Robert [3 ,4 ]
Schmidt, Hauke [1 ]
Tomassini, Lorenzo [1 ]
机构
[1] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
[2] European Ctr Medium Range Weather Forecasts, Reading RG2 9AX, Berks, England
[3] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[4] NOAA, Earth Syst Res Lab, Div Phys Sci, Boulder, CO USA
关键词
NUMERICAL WEATHER PREDICTION; PARAMETERIZATION; SENSITIVITY; UNCERTAINTY; VARIABILITY; PERFORMANCE; SIMULATION; VERSION; IMPACT; SCHEME;
D O I
10.1029/2012MS000154
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
During a development stage global climate models have their properties adjusted or tuned in various ways to best match the known state of the Earth's climate system. These desired properties are observables, such as the radiation balance at the top of the atmosphere, the global mean temperature, sea ice, clouds and wind fields. The tuning is typically performed by adjusting uncertain, or even non-observable, parameters related to processes not explicitly represented at the model grid resolution. The practice of climate model tuning has seen an increasing level of attention because key model properties, such as climate sensitivity, have been shown to depend on frequently used tuning parameters. Here we provide insights into how climate model tuning is practically done in the case of closing the radiation balance and adjusting the global mean temperature for the Max Planck Institute Earth System Model (MPI-ESM). We demonstrate that considerable ambiguity exists in the choice of parameters, and present and compare three alternatively tuned, yet plausible configurations of the climate model. The impacts of parameter tuning on climate sensitivity was less than anticipated.
引用
收藏
页数:18
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