Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-19-7415-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| Highlight paper
| 
13 Aug 2026
Methods for assessment of models | Highlight paper |
| 13 Aug 2026
| 13 Aug 2026
Rapid Evaluation Framework for the CMIP7 Assessment Fast Track
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, United States of America
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ranjini Swaminathan
CORRESPONDING AUTHOR
Department of Meteorology and National Centre for Earth Observation, University of Reading, Reading RG6 6UR, United Kingdom
Jared Lewis
Climate Resource, Fitzroy, Victoria, Australia
Bouwe Andela
Netherlands eScience Center, Amsterdam, the Netherlands
Nathan Collier
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, United States of America
Dóra Hegedűs
RAL Space, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 OFD, United Kingdom
CMIP International Project Office, European Space Agency, Harwell Campus, Didcot OX11 OFD, United Kingdom
Jiwoo Lee
Lawrence Livermore National Laboratory, Livermore, California 94550, United States of America
Charlotte Pascoe
RAL Space, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 OFD, United Kingdom
Mika Pflüger
Climate Resource S GmbH, Berlin, Germany
Martina Stockhause
Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain
Paul Ullrich
Lawrence Livermore National Laboratory, Livermore, California 94550, United States of America
Min Xu
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6301, United States of America
Lisa Bock
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Felicity Chun
Australia's Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia
Bettina K. Gier
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Douglas I. Kelley
United Kingdom Centre for Ecology & Hydrology, Wallingford, Oxfordshire OX10 8BB, United Kingdom
Axel Lauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Julien Lenhardt
Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Manuel Schlund
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Mohanan G. Sreeush
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
Katja Weigel
University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Ed Blockley
Met Office, FitzRoy Road, Exeter EX1 3PB, United Kingdom
Rebecca Beadling
Department of Earth and Environmental Science, Temple University, Philadelphia, Pennsylvania 19122, United States of America
Romain Beucher
Australia's Climate Simulator (ACCESS-NRI), Australian National University, Canberra, Australia
Demiso D. Dugassa
Water Technology Institute, Faculty of Hydraulic and Water Resources Engineering, Arba Minch University, Arba Minch, Ethiopia
Valerio Lembo
Institute of Atmospheric Sciences and Climate, National Research Council of Italy (CNR-ISAC), 00133 Rome, Italy
Jianhua Lu
School of Atmospheric Sciences, Sun Yat-sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
Swen Brands
Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain
Jerry Tjiputra
NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway
Elizaveta Malinina
Climate Modelling Research Division, Environment and Climate Change Canada, Victoria, British Columbia, Canada
Brian Medeiros
NSF National Center for Atmospheric Research, Boulder, Colorado 80307, United States of America
Enrico Scoccimarro
CMCC Foundation – Euro-Mediterranean Center on Climate Change, 73100 Lecce LE, Italy
Jeremy Walton
Met Office, FitzRoy Road, Exeter EX1 3PB, United Kingdom
Phil Kershaw
RAL Space, Science and Technology Facilities Council, Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 OFD, United Kingdom
André Lanfer Marquez
National Institute for Space Research (INPE), São José dos Campos, Brazil
Malcolm J. Roberts
Met Office, FitzRoy Road, Exeter EX1 3PB, United Kingdom
Eleanor O'Rourke
CMIP International Project Office, European Space Agency, Harwell Campus, Didcot OX11 OFD, United Kingdom
Beth Dingley
CMIP International Project Office, European Space Agency, Harwell Campus, Didcot OX11 OFD, United Kingdom
Briony Turner
CMIP International Project Office, European Space Agency, Harwell Campus, Didcot OX11 OFD, United Kingdom
Helene Hewitt
Met Office, FitzRoy Road, Exeter EX1 3PB, United Kingdom
John P. Dunne
NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey 08540, United States of America
Model code and software
Rapid Evaluation Framework J. Lewis et al. https://doi.org/10.5281/zenodo.15103441
Editorial statement
The Rapid Evaluation Framework plays a key role in the evaluation of models used in CMIP. The process is a significant step forward for the pace, consistency and transparency of the model evaluation process. This paper will be key reading for all those who need to understand the CMIP process in depth.
The Rapid Evaluation Framework plays a key role in the evaluation of models used in CMIP. The...
Short summary
The Rapid Evaluation Framework (REF) is a community-driven platform for benchmarking and performance assessment of Earth system models. Built upon four disparate community evaluation tools, the REF is designed to provide model-data comparisons for the Assessment Fast Track for the Seventh Phase of the Coupled Model Intercomparison Project. The REF will be run at the Earth System Grid Federation to enable model devleopers and scientists to quickly identify model biases and performance issues.
The Rapid Evaluation Framework (REF) is a community-driven platform for benchmarking and...
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