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Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2.
Mauritsen, Thorsten; Bader, Jürgen; Becker, Tobias; Behrens, Jörg; Bittner, Matthias; Brokopf, Renate; Brovkin, Victor; Claussen, Martin; Crueger, Traute; Esch, Monika; Fast, Irina; Fiedler, Stephanie; Fläschner, Dagmar; Gayler, Veronika; Giorgetta, Marco; Goll, Daniel S; Haak, Helmuth; Hagemann, Stefan; Hedemann, Christopher; Hohenegger, Cathy; Ilyina, Tatiana; Jahns, Thomas; Jimenéz-de-la-Cuesta, Diego; Jungclaus, Johann; Kleinen, Thomas; Kloster, Silvia; Kracher, Daniela; Kinne, Stefan; Kleberg, Deike; Lasslop, Gitta; Kornblueh, Luis; Marotzke, Jochem; Matei, Daniela; Meraner, Katharina; Mikolajewicz, Uwe; Modali, Kameswarrao; Möbis, Benjamin; Müller, Wolfgang A; Nabel, Julia E M S; Nam, Christine C W; Notz, Dirk; Nyawira, Sarah-Sylvia; Paulsen, Hanna; Peters, Karsten; Pincus, Robert; Pohlmann, Holger; Pongratz, Julia; Popp, Max; Raddatz, Thomas Jürgen; Rast, Sebastian.
Affiliation
  • Mauritsen T; Max Planck Institute for Meteorology Hamburg Germany.
  • Bader J; Department of Meteorology Stockholm University Stockholm Sweden.
  • Becker T; Max Planck Institute for Meteorology Hamburg Germany.
  • Behrens J; Max Planck Institute for Meteorology Hamburg Germany.
  • Bittner M; Deutsche Klimarechenzentrum GmbH Hamburg Germany.
  • Brokopf R; Max Planck Institute for Meteorology Hamburg Germany.
  • Brovkin V; Max Planck Institute for Meteorology Hamburg Germany.
  • Claussen M; Max Planck Institute for Meteorology Hamburg Germany.
  • Crueger T; Max Planck Institute for Meteorology Hamburg Germany.
  • Esch M; Centrum für Erdsystemforschung und Nachhaltigkeit Hamburg Germany.
  • Fast I; Max Planck Institute for Meteorology Hamburg Germany.
  • Fiedler S; Max Planck Institute for Meteorology Hamburg Germany.
  • Fläschner D; Deutsche Klimarechenzentrum GmbH Hamburg Germany.
  • Gayler V; Department of Meteorology Stockholm University Stockholm Sweden.
  • Giorgetta M; Max Planck Institute for Meteorology Hamburg Germany.
  • Goll DS; Max Planck Institute for Meteorology Hamburg Germany.
  • Haak H; Max Planck Institute for Meteorology Hamburg Germany.
  • Hagemann S; LSCE CEA-CNRS-UVSQ Saclay, Gif sur Yvette France.
  • Hedemann C; Max Planck Institute for Meteorology Hamburg Germany.
  • Hohenegger C; Max Planck Institute for Meteorology Hamburg Germany.
  • Ilyina T; Institute of Coastal Research Helmholtz-Zentrum Geesthacht Geesthacht Germany.
  • Jahns T; Max Planck Institute for Meteorology Hamburg Germany.
  • Jimenéz-de-la-Cuesta D; Max Planck Institute for Meteorology Hamburg Germany.
  • Jungclaus J; Max Planck Institute for Meteorology Hamburg Germany.
  • Kleinen T; Deutsche Klimarechenzentrum GmbH Hamburg Germany.
  • Kloster S; Max Planck Institute for Meteorology Hamburg Germany.
  • Kracher D; Max Planck Institute for Meteorology Hamburg Germany.
  • Kinne S; Max Planck Institute for Meteorology Hamburg Germany.
  • Kleberg D; Max Planck Institute for Meteorology Hamburg Germany.
  • Lasslop G; Max Planck Institute for Meteorology Hamburg Germany.
  • Kornblueh L; Max Planck Institute for Meteorology Hamburg Germany.
  • Marotzke J; Max Planck Institute for Meteorology Hamburg Germany.
  • Matei D; Max Planck Institute for Meteorology Hamburg Germany.
  • Meraner K; Senckenberg Biodiversity and Climate Research Centre Frankfurt am Main Germany.
  • Mikolajewicz U; Max Planck Institute for Meteorology Hamburg Germany.
  • Modali K; Max Planck Institute for Meteorology Hamburg Germany.
  • Möbis B; Max Planck Institute for Meteorology Hamburg Germany.
  • Müller WA; Max Planck Institute for Meteorology Hamburg Germany.
  • Nabel JEMS; Max Planck Institute for Meteorology Hamburg Germany.
  • Nam CCW; Max Planck Institute for Meteorology Hamburg Germany.
  • Notz D; Max Planck Institute for Meteorology Hamburg Germany.
  • Nyawira SS; School of Earth Atmosphere and Environment of Monash University Melbourne Victoria Australia.
  • Paulsen H; Deceased 14 January 2018.
  • Peters K; Max Planck Institute for Meteorology Hamburg Germany.
  • Pincus R; Max Planck Institute for Meteorology Hamburg Germany.
  • Pohlmann H; Max Planck Institute for Meteorology Hamburg Germany.
  • Pongratz J; Institute for Meteorology University of Leipzig Leipzig Germany.
  • Popp M; Max Planck Institute for Meteorology Hamburg Germany.
  • Raddatz TJ; Max Planck Institute for Meteorology Hamburg Germany.
  • Rast S; International Centre for Tropical Agriculture, ICIPE Duduville Campus Nairobi Kenya.
J Adv Model Earth Syst ; 11(4): 998-1038, 2019 Apr.
Article in En | MEDLINE | ID: mdl-32742553
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Adv Model Earth Syst Year: 2019 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Adv Model Earth Syst Year: 2019 Document type: Article Country of publication: