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Peer-reviewedCC BYGeoscientific model development

Rapid Evaluation Framework for the CMIP7 Assessment Fast Track

30 more authors
27 affiliations
  1. 1Oak Ridge National Laboratory (Oak Ridge, United States of America)
  2. 2Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (Cologne, Germany)
  3. 3University of Reading (Reading, United Kingdom)
  4. 4Climate Resource, Northcote, Victoria, Australia
  5. 5Netherlands eScience Center, Amsterdam, The Netherlands
  6. 6Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, United States of America
  7. 7CMIP International Project Office, European Space Agency, Harwell Campus, Didcot OX11 OFD, United Kingdom
  8. 8RAL Space, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 OFD, United Kingdom
  9. 9Lawrence Livermore National Laboratory, Livermore, California 94550, United States of America
  10. 10German Climate Computing Center (DKRZ), Hamburg 20146, Germany
  11. 11Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
  12. 12Australia’s Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia
  13. 13University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
  14. 14United Kingdom Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom
  15. 15Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
  16. 16Alfred-Wegener-Institut, Helmholtz Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
  17. 17Met Office, FitzRoy Road, Exeter EX1 3PB, United Kingdom
  18. 18Department of Earth and Environmental Science, Temple University, Philadelphia, Pennsylvania 19122, United States of America
  19. 19Water Technology Institute, Faculty of Hydraulic and Water Resources Engineering, Arba Minch University, Arba Minch, Ethiopia
  20. 20Institute of Atmospheric Sciences and Climate, National Research Council of Italy, I-00133 Rome, Italy
  21. 21School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
  22. 22Instituto de Física de Cantabria (CSIC-UC), Santander, Spain
  23. 23NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway
  24. 24Canadian Centre for Climate Modeling and Analysis, Environment and Climate Change Canada, Victoria, British Columbia, Canada
  25. 25NSF National Center for Atmospheric Research, Boulder, Colorado 80307, United States of America
  26. 26National Institute for Space Research (INPE), São José dos Campos, Brazil
  27. 27NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey 08540, United States of America

Abstract

As Earth system models (ESMs) grow in complexity and in volumes of output data, there is an increasing need for rapid, comprehensive evaluation of their scientific performance. The upcoming Assessment Fast Track for the Seventh Phase of the Coupled Model Intercomparison Project (CMIP7) will require expeditious response for model analyses designed to inform and drive integrated Earth system assessments. To meet this challenge, the Rapid Evaluation Framework (REF), a community-driven platform for benchmarking and performance assessment of ESMs, was designed and developed. The initial implementation of the REF, constructed to meet the near-term needs of the CMIP7 Assessment Fast Track, builds upon community evaluation and benchmarking tools. The REF runs within a containerized workflow for portability and reproducibility and is aimed at generating and organizing diagnostics covering a variety of model variables. The REF leverages best-available observational datasets to provide assessments of model fidelity across a collection of diagnostics. All diagnostics were identified and finally selected with community involvement and consultation. Operational integration with the Earth System Grid Federation (ESGF) will permit automated execution of the REF for specific diagnostics as soon as model data are published on ESGF by the originating modelling centres. The REF is designed to be portable across a range of current computational platforms to facilitate use by modelling centres for assessing the evolution of model versions or gauging the relative performance of CMIP simulations before being published on ESGF. When integrated into production simulation workflows, results from the REF provide immediate quantitative feedback that allows model developers and scientists to quickly identify model biases and performance issues. After the REF is released to the community, its subsequent development and support will be prioritized by an international consortium of scientists and engineers, enabling a broader impact across Earth science disciplines. For instance, the REF will facilitate improvements to models and reductions in uncertainties for projections since ESMs are the main tool for studying the global Earth system. Production of reproducible diagnostics and community-based assessments are the key features of the REF that help to inform mitigation and adaptation policies.

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BibTeX
@article{hoffman2026rapid,
  title = {{Rapid Evaluation Framework for the CMIP7 Assessment Fast Track}},
  author = {Forrest M. Hoffman and Birgit Haßler and Ranjini Swaminathan and Jared Lewis and Bouwe Andela and Nathan Collier and Dora Hegedūs and Jiwoo Lee and Charlotte Pascoe and Mika Pflüger and Martina Stockhause and Paul Aaron Ullrich and Min Xu and Lisa Bock and Felicity Chun and Bettina K. Gier and Douglas Ian Kelley and Axel Lauer and Julien Lenhardt and Manuel Schlund and Mohanan Geethalekshmi Sreeush and Katja Weigel and Ed Blockley and Rebecca L. Beadling and Romain Beucher and Demiso Daba Dugassa and Valerio Lembo and Jianhua Lü and Swen Brands and Jerry Fong Tjiputra and Elizaveta Malinina and Brian Medeiros and Enrico Scoccimarro and Jeremy P. R. B. Walton and Philip Kershaw and André Lanfer Marquez and Malcolm J. Roberts and Eleanor O’Rourke and Beth Dingley and Briony Turner and Helene Theresa Hewitt and John P. Patrick Dunne},
  journal = {Geoscientific model development},
  year = {2026},
  month = aug,
  doi = {10.5194/gmd-19-7415-2026},
  url = {https://doi.org/10.5194/gmd-19-7415-2026},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Rapid Evaluation Framework for the CMIP7 Assessment Fast Track
AU  - Forrest M. Hoffman
AU  - Birgit Haßler
AU  - Ranjini Swaminathan
AU  - Jared Lewis
AU  - Bouwe Andela
AU  - Nathan Collier
AU  - Dora Hegedūs
AU  - Jiwoo Lee
AU  - Charlotte Pascoe
AU  - Mika Pflüger
AU  - Martina Stockhause
AU  - Paul Aaron Ullrich
AU  - Min Xu
AU  - Lisa Bock
AU  - Felicity Chun
AU  - Bettina K. Gier
AU  - Douglas Ian Kelley
AU  - Axel Lauer
AU  - Julien Lenhardt
AU  - Manuel Schlund
AU  - Mohanan Geethalekshmi Sreeush
AU  - Katja Weigel
AU  - Ed Blockley
AU  - Rebecca L. Beadling
AU  - Romain Beucher
AU  - Demiso Daba Dugassa
AU  - Valerio Lembo
AU  - Jianhua Lü
AU  - Swen Brands
AU  - Jerry Fong Tjiputra
AU  - Elizaveta Malinina
AU  - Brian Medeiros
AU  - Enrico Scoccimarro
AU  - Jeremy P. R. B. Walton
AU  - Philip Kershaw
AU  - André Lanfer Marquez
AU  - Malcolm J. Roberts
AU  - Eleanor O’Rourke
AU  - Beth Dingley
AU  - Briony Turner
AU  - Helene Theresa Hewitt
AU  - John P. Patrick Dunne
PY  - 2026
DA  - 2026/08/13
JO  - Geoscientific model development
DO  - 10.5194/gmd-19-7415-2026
UR  - https://doi.org/10.5194/gmd-19-7415-2026
AB  - As Earth system models (ESMs) grow in complexity and in volumes of output data, there is an increasing need for rapid, comprehensive evaluation of their scientific performance. The upcoming Assessment Fast Track for the Seventh Phase of the Coupled Model Intercomparison Project (CMIP7) will require expeditious response for model analyses designed to inform and drive integrated Earth system assessments. To meet this challenge, the Rapid Evaluation Framework (REF), a community-driven platform for benchmarking and performance assessment of ESMs, was designed and developed. The initial implementation of the REF, constructed to meet the near-term needs of the CMIP7 Assessment Fast Track, builds upon community evaluation and benchmarking tools. The REF runs within a containerized workflow for portability and reproducibility and is aimed at generating and organizing diagnostics covering a variety of model variables. The REF leverages best-available observational datasets to provide assessments of model fidelity across a collection of diagnostics. All diagnostics were identified and finally selected with community involvement and consultation. Operational integration with the Earth System Grid Federation (ESGF) will permit automated execution of the REF for specific diagnostics as soon as model data are published on ESGF by the originating modelling centres. The REF is designed to be portable across a range of current computational platforms to facilitate use by modelling centres for assessing the evolution of model versions or gauging the relative performance of CMIP simulations before being published on ESGF. When integrated into production simulation workflows, results from the REF provide immediate quantitative feedback that allows model developers and scientists to quickly identify model biases and performance issues. After the REF is released to the community, its subsequent development and support will be prioritized by an international consortium of scientists and engineers, enabling a broader impact across Earth science disciplines. For instance, the REF will facilitate improvements to models and reductions in uncertainties for projections since ESMs are the main tool for studying the global Earth system. Production of reproducible diagnostics and community-based assessments are the key features of the REF that help to inform mitigation and adaptation policies.
SN  - 1991-959X
SN  - 1991-9603
ER  -