Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2

被引:758
作者
Mauritsen, Thorsten [1 ,2 ]
Bader, Jurgen [1 ]
Becker, Tobias [1 ]
Behrens, Jorg [3 ]
Bittner, Matthias [1 ]
Brokopf, Renate [1 ]
Brovkin, Victor [1 ]
Claussen, Martin [1 ,4 ]
Crueger, Traute [1 ]
Esch, Monika [1 ]
Fast, Irina [3 ]
Fiedler, Stephanie [2 ]
Flaeschner, Dagmar [1 ]
Gayler, Veronika [1 ]
Giorgetta, Marco [1 ]
Goll, Daniel S. [5 ]
Haak, Helmuth [1 ]
Hagemann, Stefan [1 ,6 ]
Hedemann, Christopher [1 ]
Hohenegger, Cathy [1 ]
Ilyina, Tatiana [1 ]
Jahns, Thomas [3 ]
Jimenez-de-la-Cuesta, Diego [1 ]
Jungclaus, Johann [1 ]
Kleinen, Thomas [1 ]
Kloster, Silvia [1 ]
Kracher, Daniela [1 ]
Kinne, Stefan [1 ]
Kleberg, Deike [1 ]
Lasslop, Gitta [1 ,7 ]
Kornblueh, Luis [1 ]
Marotzke, Jochem [1 ]
Matei, Daniela [1 ]
Meraner, Katharina [1 ]
Mikolajewicz, Uwe [1 ]
Modali, Kameswarrao [1 ]
Moebis, Benjamin [1 ,8 ]
Muellner, Wolfgang A. [1 ]
Nabel, Julia E. M. S. [1 ]
Nam, Christine C. W. [1 ,9 ]
Notz, Dirk [1 ]
Nyawira, Sarah-Sylvia [1 ,10 ]
Paulsen, Hanna [1 ]
Peters, Karsten [3 ]
Pincus, Robert [1 ,2 ,11 ,12 ]
Pohlmann, Holger [1 ]
Pongratz, Julia [1 ,3 ,13 ]
Popp, Max [1 ,4 ,14 ]
Raddatz, Thomas Jurgen [1 ]
Rast, Sebastian [1 ]
机构
[1] Max Planck Inst Meteorol, Hamburg, Germany
[2] Stockholm Univ, Dept Meteorol, Stockholm, Sweden
[3] Deutsch Klimarechenzentrum GmbH, Hamburg, Germany
[4] Ctr Erdsyst Forsch & Nachhaltigkeit, Hamburg, Germany
[5] UVSQ, CEA, LSCE, CNRS, Gif Sur Yvette, France
[6] Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany
[7] Senckenberg Biodivers & Climate Res Ctr, Frankfurt, Germany
[8] Monash Univ, Sch Earth Atmosphere & Environm, Melbourne, Vic, Australia
[9] Univ Leipzig, Inst Meteorol, Leipzig, Germany
[10] Int Ctr Trop Agr, ICIPE Duduville Campus, Nairobi, Kenya
[11] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[12] NOAA, Phys Sci Div, Earth Syst Res Lab, Boulder, CO USA
[13] Ludwig Maximilians Univ MUnchen, Dept Geog, Munich, Germany
[14] Sorbonne Univ, Lab Meteorol Dynam, CNRS, Inst Pierre Simon Lapl, Paris, France
[15] Univ Cologne, Inst Geophys & Meteorol, Cologne, Germany
[16] Univ Reading, Natl Ctr Atmospher Sci, Reading, Berks, England
[17] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, Dept Troposphere Res, Karlsruhe, Germany
[18] Columbia Univ, Lamont Doherty Earth Observ, New York, NY USA
基金
欧洲研究理事会;
关键词
coupled climate model; model development; climate sensitivity; INTERCOMPARISON PROJECT; GENERAL-CIRCULATION; CONVECTIVE PARAMETERIZATION; CLIMATE SENSITIVITY; DINITROGEN-FIXATION; RADIATIVE-TRANSFER; SEA-ICE; CARBON; CMIP6; SIMULATIONS;
D O I
10.1029/2018MS001400
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A new release of the Max Planck Institute for Meteorology Earth System Model version 1.2 (MPI-ESM1.2) is presented. The development focused on correcting errors in and improving the physical processes representation, as well as improving the computational performance, versatility, and overall user friendliness. In addition to new radiation and aerosol parameterizations of the atmosphere, several relatively large, but partly compensating, coding errors in the model's cloud, convection, and turbulence parameterizations were corrected. The representation of land processes was refined by introducing a multilayer soil hydrology scheme, extending the land biogeochemistry to include the nitrogen cycle, replacing the soil and litter decomposition model and improving the representation of wildfires. The ocean biogeochemistry now represents cyanobacteria prognostically in order to capture the response of nitrogen fixation to changing climate conditions and further includes improved detritus settling and numerous other refinements. As something new, in addition to limiting drift and minimizing certain biases, the instrumental record warming was explicitly taken into account during the tuning process. To this end, a very high climate sensitivity of around 7 K caused by low-level clouds in the tropics as found in an intermediate model version was addressed, as it was not deemed possible to match observed warming otherwise. As a result, the model has a climate sensitivity to a doubling of CO2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO2 forcing, which nonetheless can be represented by a simple two-layer model.
引用
收藏
页码:998 / 1038
页数:41
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