MPI-ESM

MPI-ESM
Name	MPI-ESM
Institution	Max Planck Institute for Meteorology
Country	Germany
First release	2013
Type	Earth system model
Components	Atmosphere; Ocean; Sea ice; Land surface; Biogeochemistry

MPI-ESM

MPI-ESM is a coupled Earth system model developed at the Max Planck Institute for Meteorology for climate research and assessment. It integrates atmosphere, ocean, sea ice, land surface and biogeochemical components to simulate past, present and future climate states for studies related to Intergovernmental Panel on Climate Change, Coupled Model Intercomparison Project and regional downscaling. The model has been used in studies connected with European Union policy-relevant assessments, World Climate Research Programme diagnostics, and collaborations involving NOAA, NASA, Met Office, and ECMWF.

Overview

MPI-ESM was designed to address questions central to United Nations Framework Convention on Climate Change reports and IPCC Fifth Assessment Report activities while interoperating with datasets from Climate Model Intercomparison Project Phase 5 and successor initiatives. It couples atmospheric dynamics influenced by processes represented in models derived from ECHAM heritage with ocean components tracing lineage to MPI OM and sea-ice formulations connected to schemes used by Hadley Centre and NCAR. The framework supports experiments coordinated by Coupled Model Intercomparison Project Phase 6 and enables contributions to multi-model syntheses alongside models from GFDL, CNRM, CSIRO, and CanESM.

Model Components and Physics

Atmospheric physics in MPI-ESM builds on parameterizations handling radiation, convection, cloud microphysics and aerosols, comparable to schemes used in ECMWF Integrated Forecast System, GFDL AM4, and HadGEM3. The ocean component employs advection, mixing and tracer schemes informed by research at Woods Hole Oceanographic Institution, Scripps Institution of Oceanography, and Alfred Wegener Institute. Sea-ice dynamics and thermodynamics draw on formulations similar to those developed at Los Alamos National Laboratory and University of Washington. Land surface and vegetation modules interface with biogeochemical cycles influenced by work at Carnegie Institution for Science, Max Planck Institute for Biogeochemistry, and University of Leeds; carbon and nutrient cycling routines link to model frameworks used by ORCHIDEE and LPJmL. Coupled feedbacks among components allow exploration of interactions relevant to Atlantic Meridional Overturning Circulation, El Niño–Southern Oscillation, and Arctic amplification studies.

Development and Versions

Development of MPI-ESM progressed through major releases timed for international assessments, with notable contributions from research groups at Max Planck Institute for Meteorology, University of Hamburg, and collaborating centers such as GEOMAR and Helmholtz Centre Potsdam. Early versions aligned with CMIP5 experiments; subsequent iterations incorporated advances required for CMIP6 experiments and protocol standards set by WCRP. Version evolution incorporated improved aerosol schemes inspired by efforts at Paul Scherrer Institute, updated radiative transfer informed by Laboratoire de Météorologie Dynamique studies, and enhanced biogeochemistry reflecting work at University of Exeter and MPI-BGC. Community evaluation and model intercomparison involved institutions including Princeton University, Columbia University, ETH Zurich, and Uni Research.

Performance and Evaluation

Model skill for MPI-ESM has been evaluated against observational datasets compiled by HadCRUT, NOAA NCEI, and NASA GISS, and against reanalyses such as ERA-Interim and NCEP/NCAR Reanalysis. Performance metrics include representation of historical temperature trends, precipitation patterns used in studies by University of Oxford and Stockholm University, and variability modes assessed alongside outputs from IPSL, CMCC, and Bjerknes Centre models. Evaluation studies led by teams at Leibniz Institute and University of Reading examined biases in cloud radiative effects compared with satellite products from CERES and MODIS. Model intercomparison papers contrasted MPI-ESM projections for sea-level rise with results from ICESat and TOPEX/Poseidon analyses, informing assessments undertaken by Intergovernmental Panel on Climate Change authors.

Applications and Research Use

MPI-ESM has been applied in studies of past climate reconstructions linked to Paleoclimate Modelling Intercomparison Project, future scenario projections for Representative Concentration Pathways and Shared Socioeconomic Pathways, and attribution research cited in reports by World Meteorological Organization and European Environment Agency. It has supported regional downscaling efforts with partners at DMI and SMHI for impacts work used by European Commission services, and contributed to assessments of carbon cycle feedbacks referenced by International Energy Agency analyses. Research groups at MPI-Met Office collaboration, University of Copenhagen, University of Victoria, Potsdam Institute for Climate Impact Research, and Stockholm Resilience Centre have used MPI-ESM outputs to investigate tipping points, permafrost thaw, and carbon-climate interactions.

Computational Implementation and Resources

MPI-ESM runs on high-performance computing systems hosted at centers such as German Climate Computing Center, Jülich Supercomputing Centre, NERSC, and PRACE partner facilities. Parallelization strategies leverage message-passing libraries standard at Cray Inc. and IBM installations; IO and workflow integration use community tools shared with projects at Met Office and NCAR. Large ensemble experiments and paleoclimate simulations have required computational allocations coordinated through infrastructures like Gauss Centre for Supercomputing and European Grid Infrastructure, and data outputs are archived in repositories operated by World Data Center for Climate and Earth System Grid Federation for reuse by research teams at Harvard University, Yale University, Technical University of Munich, and University of Bristol.

Category:Climate models