Generated by GPT-5-mini| IPSL-CM | |
|---|---|
| Name | IPSL-CM |
| Institution | Institut Pierre-Simon Laplace |
| Developers | Centre national de la recherche scientifique, Météo‑France, Sorbonne Université |
| First release | 1990s |
| Latest release | 2016 (IPSL-CM5), 2020s (ongoing development) |
| Programming languages | Fortran, C |
| License | varied |
IPSL-CM IPSL-CM is a coupled climate model developed by the Institut Pierre‑Simon Laplace and collaborators for simulating climate variability and change across timescales. The project integrates components from national and international institutions such as CNRS, Météo‑France, LSCE, and IPSL teams to support assessments by bodies including the Intergovernmental Panel on Climate Change and observational programs like Global Climate Observing System and World Climate Research Programme. IPSL‑CM has been used in major model intercomparison projects such as CMIP5 and CMIP6.
IPSL‑CM is a coupled general circulation model combining atmospheric, oceanic, sea‑ice, and land surface components developed to study paleoclimate forcing, anthropogenic climate change, and regional climate processes. The model framework coordinates contributions from institutions including LOCEAN, LSCE, CEA, and CNES for parameterizations, data assimilation, and postprocessing. IPSL‑CM participates in international initiatives like Coupled Model Intercomparison Project, PRIMAVERA project, and WCRP multimodel comparisons to evaluate projections used by the IPCC and regional bodies such as European Environment Agency.
The atmospheric component originates from dynamical cores and physical parameterizations developed at Météo‑France and research groups working with CNRM and ECMWF schemes for radiation, convection, and clouds. The ocean module is built on circulation and biogeochemistry codes from LOCEAN and LEGOS teams, coupling with sea‑ice physics adapted from CICE concepts and thermodynamics used in HadGEM. The land surface scheme integrates vegetation, hydrology, and carbon cycle processes informed by ISBA and ORCHIDEE developments, linking to ecosystem and biogeochemical research at LSCE and INRAE. IPSL‑CM configurations (e.g., atmosphere resolution choices, ocean grid, vertical levels) are tuned following protocols from CMIP5 and CMIP6 and use coupling infrastructure comparable to frameworks like ESMF.
Early IPSL models trace to collaborations between Météorologie Nationale researchers and university groups in the 1990s, with major milestones including contributions to IPCC Third Assessment Report simulations and CMIP phases. IPSL‑CM4 and IPSL‑CM5 were documented during the CMIP5 era, with IPSL‑CM5A‑LR and IPSL‑CM5A‑MR variants differing by resolution and component versions; these versions were incorporated into assessments by IPCC AR5. Subsequent development for CMIP6 produced model branches incorporating updated atmospheric physics, ocean biogeochemistry, and interactive aerosol schemes informed by work from AEROCLOUD and regional process studies. The evolution involved collaborations with centers such as Laboratoire de Météorologie Dynamique, Institut Pierre‑Simon Laplace, and international partners in model intercomparison workshops like those organized by WCRP.
IPSL‑CM has been evaluated against observational synthesises from programs like HadCRUT, ERA‑Interim, ARGO, and CMORPH, and benchmarked in multimodel diagnostics coordinated by PCMDI and the World Climate Research Programme. Model biases in temperature, precipitation, and ocean heat uptake have been documented relative to datasets produced by NOAA, NASA, and European reanalyses such as ERA5. Performance in simulating modes of variability—El Niño–Southern Oscillation, Atlantic Multidecadal Variability, and North Atlantic Oscillation—has been analyzed in comparison with results from GFDL, Hadley Centre, NOAA GFDL CM3, and MPI‑ESM models. Evaluations highlight strengths in coupled carbon cycle representation derived from ORCHIDEE and recognized biases in regional precipitation and tropical convection similar to challenges reported for CMIP ensembles and addressed through parameter tuning and higher resolution experiments like those in the PRIMAVERA project.
IPSL‑CM outputs have supported impact assessments for IPCC Assessment Reports, regional climate services used by entities such as the European Commission and national agencies, and scientific studies on paleoclimate events, sea level rise, and carbon‑climate feedbacks. The model has been employed in studies relating to extreme events analyses aligned with methodologies from ECMWF and C3S and in coupling to integrated assessment models used in UNFCCC scenario analyses. IPSL‑CM contributions to multimodel ensembles have influenced policy‑relevant syntheses by IPCC working groups and informed adaptation planning by organizations including OECD and national meteorological services. The code and diagnostics continue to feed into collaborative research across institutions like LSCE, LOCEAN, INRAE, and international consortia in the WCRP community.
Category:Climate models