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| CMIP7 | |
|---|---|
| Name | CMIP7 |
| Caption | Conceptual schematic of multimodel intercomparison |
| Established | 2026 |
| Field | Climate modeling |
CMIP7 CMIP7 is the seventh phase of a coordinated international multimodel intercomparison initiative that builds on prior phases to advance climate simulation, projection, and attribution. It coordinates global modeling centers, observational programs, and assessment processes to produce standardized experiments informing assessments by major bodies. CMIP7 aims to improve representation of physical, chemical, and biogeochemical processes across coupled models and to support policymaking, impact studies, and scientific synthesis.
CMIP7 is administered through collaborations among institutions such as the World Climate Research Programme, Intergovernmental Panel on Climate Change, Euro-Mediterranean Center on Climate Change, NOAA Geophysical Fluid Dynamics Laboratory, and Met Office Hadley Centre. The effort integrates contributions from centers including NASA Goddard Institute for Space Studies, Max Planck Institute for Meteorology, Geophysical Fluid Dynamics Laboratory, Centre National de Recherches Météorologiques, Chinese Academy of Sciences, Potsdam Institute for Climate Impact Research, Australian Commonwealth Scientific and Industrial Research Organisation, Japan Meteorological Agency, Canadian Centre for Climate Modelling and Analysis, and Indian Institute of Tropical Meteorology. CMIP7 builds on precedents set by prior coordinated projects such as the Coupled Model Intercomparison Project phases, IPCC Assessment Reports, and regional initiatives like CORDEX and AgMIP. It interfaces with observational networks and missions including Argo (oceanography), GRACE, Sentinel, MODIS, and CERES.
CMIP7 focuses on objectives endorsed by panels like World Climate Research Programme Working Group on Coupled Modelling, Global Carbon Project, SPARC, GEWEX, and CLIVAR. Priorities include improving representations of El Niño–Southern Oscillation teleconnections, Atlantic Meridional Overturning Circulation variability, cloud-aerosol interactions studied by AERONET and ACTIVATE, permafrost-carbon feedbacks linked to PAGE21 inventories, and stratosphere-troposphere coupling relevant to Montreal Protocol ozone recovery scenarios. The project emphasizes emergent constraints following methods used in studies associated with Met Office and Princeton University, and addresses socioeconomic linkages referenced by Shared Socioeconomic Pathways and Representative Concentration Pathways originators at IIASA.
The CMIP7 experimental framework adapts protocol principles from earlier protocols used by CMIP6 contributors and standards from ESGF data nodes and the CF (Climate and Forecast) metadata convention. Core experiments include long control runs, historical simulations aligned with datasets like HadCRUT, NOAA GlobalTemp, Berkeley Earth, and future scenarios coordinated with SSP storylines produced by IIASA and PBL Netherlands Environmental Assessment Agency. Targeted experiments address decadal prediction informed by S2S Prediction Project, paleoclimate experiments referencing PMIP reconstructions, and emergent-forcing sensitivity tests comparable to designs used in AMIP and OMIP. Protocols require standardized output following conventions set by ESGF, NetCDF, and software tools developed by PCMDI and E3SM Project.
Participating models include coupled general circulation models from institutions such as NOAA, NASA, ECMWF, Met Office, MPI-M, CESM, GFDL CM4, UKESM1 teams, ICON-based systems from DWD, regional downscaling systems used by CORDEX nodes, and Earth system models with biogeochemistry from CESM2, NorESM, and CanESM. Additional contributors come from research centers like Scripps Institution of Oceanography, Lamont-Doherty Earth Observatory, NCAR, Lawrence Livermore National Laboratory, Berkeley Lab, Korea Institute of Atmospheric Prediction Systems, and national meteorological agencies including KMA and Météo-France. Model development communities such as ACME, C-ESM, and UKESM coordinate module intercomparisons for aerosols, vegetation dynamics, ice sheets, and urban parameterizations.
CMIP7 follows data management principles enacted by ESGF, WCRP, Open Research Data Act-style frameworks, and data stewardship guidance from DataONE and RDA. Data are archived using NetCDF conventions and indexed with metadata compatible with Controlled Vocabulary registries and services like Zenodo and institutional repositories at ORNL DAAC and Pangaea. Access policies balance open science norms championed by CODATA and privacy/security practices observed by NOAA and NASA. Tools for discovery and analysis derive from xarray, CDO, NCO, and visualization software popularized by Matplotlib and ParaView.
Outputs are expected to inform assessment reports such as IPCC Sixth Assessment Report-successor syntheses, national communications submitted to UNFCCC, adaptation planning by agencies like USAID and European Commission, and sectoral studies for agriculture led by FAO and public health analyses coordinated with WHO. CMIP7 projections will support impact modeling in domains covered by ISIMIP, infrastructure resilience planning by World Bank, and financial risk assessments used by Network for Greening the Financial System members. Scientific uses include attribution studies akin to those by World Weather Attribution and foundational research in climate sensitivity debates advanced at Sverdrup Lectures-type forums.
Challenges include computational resource constraints at supercomputing centers such as NERSC, PRACE facilities, and Oak Ridge Leadership Computing Facility, model structural uncertainty highlighted by analyses at IPSL and MPI-M, and integration of heterogeneous observational streams from ARGO, GRACE-FO, and reanalysis products like ERA5. Future directions emphasize coupling with Integrated Assessment Models developed at IIASA and GCAM teams, regional downscaling collaborations with CORDEX centers, enhanced machine-learning emulators pioneered at Google DeepMind and MIT, and sustained capacity building through partnerships with World Bank and regional training hubs like IPCC National Focal Points. CMIP7 seeks to strengthen reproducibility, interoperability, and policy relevance in concert with established stakeholders including WMO, UNESCO, and OECD.
Category:Climate modeling