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

      research-article
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      Journal of Advances in Modeling Earth Systems
      John Wiley and Sons Inc.
      coupled climate model, model development, climate sensitivity

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          Abstract

          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 CO 2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO 2 forcing, which nonetheless can be represented by a simple two‐layer model.

          Key Points

          • An updated version of the Max Planck Institute for Meteorology Earth System Model (MPI‐ESM1.2) is presented

          • The model includes both code corrections and parameterization improvements

          • Despite this, the model maintains an equilibrium climate sensitivity, which rises with warming

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          Most cited references119

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          A Dynamic Thermodynamic Sea Ice Model

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            Parameterization of Vertical Mixing in Numerical Models of Tropical Oceans

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              Atmospheric component of the MPI-M Earth System Model: ECHAM6

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                Author and article information

                Contributors
                thorsten.mauritsen@misu.su.se
                Journal
                J Adv Model Earth Syst
                J Adv Model Earth Syst
                10.1002/(ISSN)1942-2466
                JAME
                Journal of Advances in Modeling Earth Systems
                John Wiley and Sons Inc. (Hoboken )
                1942-2466
                16 April 2019
                April 2019
                : 11
                : 4 ( doiID: 10.1002/jame.v11.4 )
                : 998-1038
                Affiliations
                [ 1 ] Max Planck Institute for Meteorology Hamburg Germany
                [ 2 ] Department of Meteorology Stockholm University Stockholm Sweden
                [ 3 ] Deutsche Klimarechenzentrum GmbH Hamburg Germany
                [ 4 ] Centrum für Erdsystemforschung und Nachhaltigkeit Hamburg Germany
                [ 5 ] LSCE CEA‐CNRS‐UVSQ Saclay, Gif sur Yvette France
                [ 6 ] Institute of Coastal Research Helmholtz‐Zentrum Geesthacht Geesthacht Germany
                [ 7 ] Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany
                [ 8 ] School of Earth Atmosphere and Environment of Monash University Melbourne Victoria Australia
                [ 9 ] Deceased 14 January 2018
                [ 10 ] Institute for Meteorology University of Leipzig Leipzig Germany
                [ 11 ] International Centre for Tropical Agriculture, ICIPE Duduville Campus Nairobi Kenya
                [ 12 ] Cooperative Institute for Research in Environmental Sciences University of Colorado Boulder Boulder CO USA
                [ 13 ] Physical Sciences Division NOAA Earth System Research Lab Boulder CO USA
                [ 14 ] Department of Geography Ludwig‐Maximilians‐Universität München München Germany
                [ 15 ] Laboratoire de Météorologie Dynamique/Institute Pierre‐Simon Laplace, CNRS Sorbonne Université Paris France
                [ 16 ] Institute for Geophysics and Meteorology University of Cologne Cologne Germany
                [ 17 ] National Centre for Atmospheric Science University of Reading Reading UK
                [ 18 ] Institute of Meteorology and Climate Research‐Department Troposphere Research Karlsruhe Institute of Technology Karlsruhe Germany
                [ 19 ] Lamont‐Doherty Earth Observatory Columbia University New York NY USA
                Author notes
                [*] [* ] Correspondence to: T. Mauritsen,

                thorsten.mauritsen@ 123456misu.su.se

                Author information
                https://orcid.org/0000-0003-1418-4077
                https://orcid.org/0000-0001-9294-3169
                https://orcid.org/0000-0002-5795-4767
                https://orcid.org/0000-0002-7368-9764
                https://orcid.org/0000-0001-6420-3198
                https://orcid.org/0000-0003-1879-8498
                https://orcid.org/0000-0001-8898-9949
                https://orcid.org/0000-0002-4278-1963
                https://orcid.org/0000-0002-9883-5086
                https://orcid.org/0000-0001-5444-2945
                https://orcid.org/0000-0003-2896-2175
                https://orcid.org/0000-0002-7478-6275
                https://orcid.org/0000-0002-3475-4842
                https://orcid.org/0000-0002-0364-8182
                https://orcid.org/0000-0002-3849-4339
                https://orcid.org/0000-0001-9550-5164
                https://orcid.org/0000-0001-7307-448X
                https://orcid.org/0000-0001-9939-1459
                https://orcid.org/0000-0001-9857-9900
                https://orcid.org/0000-0002-5316-4987
                https://orcid.org/0000-0001-7925-9311
                https://orcid.org/0000-0002-8122-5206
                https://orcid.org/0000-0001-9404-3412
                https://orcid.org/0000-0003-0365-5654
                https://orcid.org/0000-0001-5356-3921
                https://orcid.org/0000-0003-0158-2957
                https://orcid.org/0000-0002-0016-3470
                https://orcid.org/0000-0003-1264-0024
                https://orcid.org/0000-0003-0372-3960
                https://orcid.org/0000-0002-3437-5383
                https://orcid.org/0000-0001-7977-5041
                https://orcid.org/0000-0002-7380-8313
                https://orcid.org/0000-0003-3795-0475
                https://orcid.org/0000-0002-2308-6834
                https://orcid.org/0000-0002-7394-8252
                Article
                JAME20830 10.1029/2018MS001400
                10.1029/2018MS001400
                7386935
                32742553
                0f5d892a-bbeb-4a1b-a2db-2a5c43e5cb58
                ©2019. The Authors.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 08 June 2018
                : 17 October 2018
                : 06 January 2019
                Page count
                Figures: 0, Tables: 0, Pages: 41, Words: 18148
                Funding
                Funded by: EC | H2020 | H2020 Priority Excellent Science | H2020 European Research Council (ERC) , open-funder-registry 10.13039/100011102;
                Award ID: 770765
                Funded by: European Research Council , open-funder-registry 10.13039/100010663;
                Award ID: ERC-2013-SyG-610028
                Funded by: German Research Foundation , open-funder-registry 10.13039/501100001659;
                Award ID: CliSAP
                Categories
                Biogeosciences
                Climate Dynamics
                Geodesy and Gravity
                Global Change from Geodesy
                Global Change
                Climate Dynamics
                Earth System Modeling
                Global Climate Models
                Coupled Models of the Climate System
                Atmospheric Processes
                Climatology
                Global Climate Models
                Natural Hazards
                Physical Modeling
                Paleoceanography
                Global Climate Models
                Research Article
                Research Articles
                Custom metadata
                2.0
                April 2019
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:27.07.2020

                coupled climate model,model development,climate sensitivity

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