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Peer-reviewedCC BYGeoscientific model development

CMIP7 data request: ocean and sea ice priorities and opportunities

  • Baylor Fox‐Kemper1,2
  • Patricia DeRepentigny3
  • Anne‐Marie Tréguier4
  • Christian Stepanek5,6
  • Eleanor O’Rourke7,8
  • Chloe Mackallah9
  • Alberto Meucci9,10
  • Yevgeny Aksenov11
  • Paul J. Durack12
  • Nicole Feldl13
  • Oluwayemi A. Garuba14,15
  • Vanessa Hernaman14,16
10 more authors
  • Céline Heuzé15,17
  • Doroteaciro Iovino16,18,19
  • Gaurav Madan17,18,20
  • André Lanfer Marquez19,3
  • François Massonnet3,11
  • Jenny Mecking11,21
  • Dhrubajyoti Samanta20,22
  • Patrick C. Taylor23,24
  • Wan‐Ling Tseng22,25
  • Martin Vancoppenolle26
26 affiliations
  1. 1Brown University (Providence, United States of America)
  2. 2Department of Earth, Environmental, and Planetary Sciences (DEEPS), Brown University, Providence, Rhode Island, 02912, USA
  3. 3Earth and Climate Research Center (ELIC), Earth and Life Institute (ELI), Université catholique de Louvain (UCLouvain), Louvain-la-Neuve, Belgium
  4. 4Laboratoire d'Océanographie Physique et Spatiale, University of Brest, CNRS, Ifremer, IRD, Brest, France
  5. 5Alfred Wegener Institute – Helmholtz Center for Polar and Marine Research, Bremerhaven, Germany
  6. 6Alfred Wegener Institute - Helmholtz Center for Polar and Marine Research, Bremerhaven, Germany
  7. 7CMIP International Project Office, ECSAT, Harwell Science & Innovation Campus, Oxford, UK
  8. 8CMIP International Project Office, ECSAT, Harwell Science & Innovation Campus, UK
  9. 9Climate Science Centre, CSIRO Environment, Aspendale, VIC, Australia
  10. 10Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia
  11. 11National Oceanography Centre, Southampton, UK
  12. 12PCMDI, Lawrence Livermore National Laboratory (LLNL), Livermore, California, 94550, USA
  13. 13Department of Earth and Planetary Sciences, University of California, Santa Cruz, Santa Cruz, California, USA
  14. 14Pacific Northwest National Laboratory, Richland, Washington, USA
  15. 15Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia
  16. 16Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden
  17. 17Foundation Euro-Mediterranean Centre on Climate Change (CMCC), Bologna, Italy
  18. 18National Centre for Atmospheric Science, University of Reading, Reading, United Kingdom
  19. 19Section for Meteorology and Ocean Sciences, University of Oslo, Oslo, Norway
  20. 20Department of Earth System Numerical Modelling (DIMNT), National Institute for Space Research (INPE), Sao José dos Campos, Sao Paulo, Brazil
  21. 21Earth Observatory of Singapore, Nanyang Technological University, Singapore
  22. 22National Aeronautics and Space Administration (NASA), Langley Research Center, Hampton, Virginia, 23681, USA
  23. 23Earth Observatory of Singapore, Nanyang Technological University, Singapore, Singapore
  24. 24Ocean Center, National Taiwan University, Taipei, Taiwan
  25. 25Laboratoire d'Océanographie et du Climat, CNRS/IRD/MNHN, Sorbonne Université, Paris, France
  26. 26Institute of Sustainable Development and Climate Policy, National Tsing Hua University, Hsinchu, Taiwan
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Abstract

The ocean and sea ice are central to Earth's climate system, influencing global heat and carbon cycles, weather patterns, and sea level rise. Recent decades have seen rapid advances in Earth System Models (ESMs), but limitations remain in simulating and comparing key oceanic and cryospheric processes across models. A recurring challenge in model intercomparison efforts like the Coupled Model Intercomparison Project (CMIP) is determining the output variables that best represent essential mechanisms while remaining manageable in volume and complexity. Here we present the CMIP7 ocean and sea ice data request, developed through an international, community-based process to prioritize variables for model output. We identify seven opportunities—science-based use cases spanning ocean and cryosphere drivers and responses, paleoclimate, polar amplification, extremes, wind waves, and rapid model evaluation—to guide variable selection and temporal resolution. To address these opportunities we request new high-frequency and depth-integrated variables, support improved diagnostics of ocean heat uptake, sea ice processes, and model-observation comparison, and build on lessons from CMIP6. Our approach enables targeted, efficient, and transparent data curation to support a wide range of users, from model developers to policymakers. This effort reflects a growing need for more sophisticated, integrative model outputs that address pressing climate questions, including regional extremes and tipping points, while laying the groundwork for future modeling developments.

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Cite

BibTeXRIS
BibTeX
@article{foxkemper2026cmip7,
  title = {{CMIP7 data request: ocean and sea ice priorities and opportunities}},
  author = {Baylor Fox‐Kemper and Patricia DeRepentigny and Anne‐Marie Tréguier and Christian Stepanek and Eleanor O’Rourke and Chloe Mackallah and Alberto Meucci and Yevgeny Aksenov and Paul J. Durack and Nicole Feldl and Oluwayemi A. Garuba and Vanessa Hernaman and Céline Heuzé and Doroteaciro Iovino and Gaurav Madan and André Lanfer Marquez and François Massonnet and Jenny Mecking and Dhrubajyoti Samanta and Patrick C. Taylor and Wan‐Ling Tseng and Martin Vancoppenolle},
  journal = {Geoscientific model development},
  year = {2026},
  month = jul,
  doi = {10.5194/gmd-19-6043-2026},
  url = {https://doi.org/10.5194/gmd-19-6043-2026},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - CMIP7 data request: ocean and sea ice priorities and opportunities
AU  - Baylor Fox‐Kemper
AU  - Patricia DeRepentigny
AU  - Anne‐Marie Tréguier
AU  - Christian Stepanek
AU  - Eleanor O’Rourke
AU  - Chloe Mackallah
AU  - Alberto Meucci
AU  - Yevgeny Aksenov
AU  - Paul J. Durack
AU  - Nicole Feldl
AU  - Oluwayemi A. Garuba
AU  - Vanessa Hernaman
AU  - Céline Heuzé
AU  - Doroteaciro Iovino
AU  - Gaurav Madan
AU  - André Lanfer Marquez
AU  - François Massonnet
AU  - Jenny Mecking
AU  - Dhrubajyoti Samanta
AU  - Patrick C. Taylor
AU  - Wan‐Ling Tseng
AU  - Martin Vancoppenolle
PY  - 2026
DA  - 2026/07/09
JO  - Geoscientific model development
DO  - 10.5194/gmd-19-6043-2026
UR  - https://doi.org/10.5194/gmd-19-6043-2026
AB  - The ocean and sea ice are central to Earth's climate system, influencing global heat and carbon cycles, weather patterns, and sea level rise. Recent decades have seen rapid advances in Earth System Models (ESMs), but limitations remain in simulating and comparing key oceanic and cryospheric processes across models. A recurring challenge in model intercomparison efforts like the Coupled Model Intercomparison Project (CMIP) is determining the output variables that best represent essential mechanisms while remaining manageable in volume and complexity. Here we present the CMIP7 ocean and sea ice data request, developed through an international, community-based process to prioritize variables for model output. We identify seven opportunities—science-based use cases spanning ocean and cryosphere drivers and responses, paleoclimate, polar amplification, extremes, wind waves, and rapid model evaluation—to guide variable selection and temporal resolution. To address these opportunities we request new high-frequency and depth-integrated variables, support improved diagnostics of ocean heat uptake, sea ice processes, and model-observation comparison, and build on lessons from CMIP6. Our approach enables targeted, efficient, and transparent data curation to support a wide range of users, from model developers to policymakers. This effort reflects a growing need for more sophisticated, integrative model outputs that address pressing climate questions, including regional extremes and tipping points, while laying the groundwork for future modeling developments.
SN  - 1991-959X
SN  - 1991-9603
ER  -