Articles | Volume 17, issue 23
https://doi.org/10.5194/gmd-17-8569-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-8569-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
fair-calibrate v1.4.1: calibration, constraining, and validation of the FaIR simple climate model for reliable future climate projections
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
Energy, Climate and Environment Program, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
now at: Department of Water and Climate, Vrije Universiteit Brussel, 1050 Brussels, Belgium
Donald P. Cummins
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
Hege-Beate Fredriksen
Department of Physics and Technology, UiT the Arctic University of Norway, Tromsø, Norway
Zebedee Nicholls
Energy, Climate and Environment Program, International Institute for Applied Systems Analysis (IIASA), 2361 Laxenburg, Austria
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Victoria, Australia
Climate Resource, Melbourne, Victoria, Australia
Malte Meinshausen
School of Geography, Earth and Atmospheric Sciences, The University of Melbourne, Melbourne, Victoria, Australia
Climate Resource, Melbourne, Victoria, Australia
Myles Allen
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom
Stuart Jenkins
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom
Nicholas Leach
Atmospheric, Oceanic and Planetary Physics, University of Oxford, Oxford, OX1 3PU, United Kingdom
Camilla Mathison
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, United Kingdom
Met Office Hadley Centre, Exeter, EX1 3PB, United Kingdom
Antti-Ilari Partanen
Climate System Research, Finnish Meteorological Institute, Helsinki, Finland
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Cited
19 citations as recorded by crossref.
- Meta-modelling paths of simple climate models using neural networks and dirichlet polynomials: an application to DICE E. Gobet et al.
- Using net-zero carbon debt to track climate overshoot responsibility S. Pelz et al.
- Long run emulator calibration increases warming and sea-level rise projections C. Wells et al.
- Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model V. Malagón-Santos et al.
- Opinion: The role of AerChemMIP in advancing climate and air quality research P. Griffiths et al.
- Review of climate simulation by Simple Climate Models A. Romero-Prieto et al.
- Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0 L. Ramme et al.
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al.
- FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al.
- Revisiting two-layer energy balance models for climate assessment J. Tsutsui & C. Smith
- The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) D. Van Vuuren et al.
- Neglecting future sporadic volcanic eruptions underestimates climate uncertainty M. Chim et al.
- Mitigating Carbon Leakage in China’s Carbon Neutrality Through Coordinated Greenhouse Gas Reductions and Increased Natural Carbon Uptake R. Su et al.
- An overview of FRIDA v2.1: a feedback-based, fully coupled, global integrated assessment model of climate and humans W. Schoenberg et al.
- Using reduced-complexity volcanic aerosol and climate models to produce large ensemble simulations of Holocene temperature M. Verkerk et al.
- Paleoclimate pattern effects help constrain climate sensitivity and 21st-century warming V. Cooper et al.
- Differences in anthropogenic greenhouse gas emissions estimates explained W. Lamb et al.
- Modified cost-risk analysis as a bridge between target-based and trade-off-based decision-making frameworks V. Avakumović & B. Blanz
- The representation of climate impacts in the FRIDAv2.1 Integrated Assessment Model C. Wells et al.
19 citations as recorded by crossref.
- Meta-modelling paths of simple climate models using neural networks and dirichlet polynomials: an application to DICE E. Gobet et al.
- Using net-zero carbon debt to track climate overshoot responsibility S. Pelz et al.
- Long run emulator calibration increases warming and sea-level rise projections C. Wells et al.
- Emulating long-term CMIP6 projections of sterodynamic sea-level change using a three-layer energy balance model V. Malagón-Santos et al.
- Opinion: The role of AerChemMIP in advancing climate and air quality research P. Griffiths et al.
- Review of climate simulation by Simple Climate Models A. Romero-Prieto et al.
- Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0 L. Ramme et al.
- A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) C. Mathison et al.
- FRIDA-Clim v1.0.1: a simple climate model with process-based carbon cycle used in the integrated assessment model FRIDAv2.1 C. Wells et al.
- Revisiting two-layer energy balance models for climate assessment J. Tsutsui & C. Smith
- The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) D. Van Vuuren et al.
- Neglecting future sporadic volcanic eruptions underestimates climate uncertainty M. Chim et al.
- Mitigating Carbon Leakage in China’s Carbon Neutrality Through Coordinated Greenhouse Gas Reductions and Increased Natural Carbon Uptake R. Su et al.
- An overview of FRIDA v2.1: a feedback-based, fully coupled, global integrated assessment model of climate and humans W. Schoenberg et al.
- Using reduced-complexity volcanic aerosol and climate models to produce large ensemble simulations of Holocene temperature M. Verkerk et al.
- Paleoclimate pattern effects help constrain climate sensitivity and 21st-century warming V. Cooper et al.
- Differences in anthropogenic greenhouse gas emissions estimates explained W. Lamb et al.
- Modified cost-risk analysis as a bridge between target-based and trade-off-based decision-making frameworks V. Avakumović & B. Blanz
- The representation of climate impacts in the FRIDAv2.1 Integrated Assessment Model C. Wells et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
Climate projections are only useful if the underlying models that produce them are well calibrated and can reproduce observed climate change. We formalise a software package that calibrates the open-source FaIR simple climate model to full-complexity Earth system models. Observations, including historical warming, and assessments of key climate variables such as that of climate sensitivity are used to constrain the model output.
Climate projections are only useful if the underlying models that produce them are well...