Articles | Volume 14, issue 5
https://doi.org/10.5194/gmd-14-3007-2021
© Author(s) 2021. 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-14-3007-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
27 May 2021
Model description paper | Highlight paper |
| 27 May 2021
| 27 May 2021
FaIRv2.0.0: a generalized impulse response model for climate uncertainty and future scenario exploration
Nicholas J. Leach
CORRESPONDING AUTHOR
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Stuart Jenkins
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Zebedee Nicholls
Australian–German Climate and Energy College, University of Melbourne, Melbourne, Australia
School of Geography, Earth and Atmospheric Sciences, University of Melbourne, Melbourne, Australia
Christopher J. Smith
CORRESPONDING AUTHOR
School of Earth and Environment, University of Leeds, Leeds, UK
International Institute for Applied Systems Analysis, Laxenburg, Austria
John Lynch
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Michelle Cain
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Tristram Walsh
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Bill Wu
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Junichi Tsutsui
Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry, Abiko, Japan
Myles R. Allen
Atmospheric, Oceanic, and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK
Environmental Change Institute, University of Oxford, Oxford, UK
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- Estimating Remaining Carbon Budgets Using Temperature Responses Informed by CMIP6 M. Rypdal et al. 10.3389/fclim.2021.686058
- The Multi‐Decadal Response to Net Zero CO2 Emissions and Implications for Emissions Policy S. Jenkins et al. 10.1029/2022GL101047
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- Scaling up gas and electric cooking in low- and middle-income countries: climate threat or mitigation strategy with co-benefits? E. Floess et al. 10.1088/1748-9326/acb501
- National contributions to climate change due to historical emissions of carbon dioxide, methane, and nitrous oxide since 1850 M. Jones et al. 10.1038/s41597-023-02041-1
- Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. 10.2139/ssrn.4567664
- Why addressing methane emissions is a non-negotiable part of effective climate policy A. Reisinger 10.3389/fsci.2024.1451011
- IPCC and the effectiveness of carbon sinks C. Azar & D. Johansson 10.1088/1748-9326/ac5bb2
- The key role of propane in a sustainable cooling sector P. Purohit et al. 10.1073/pnas.2206131119
- Modeling the non-CO2 contribution to climate change C. Smith & T. Gasser 10.1016/j.oneear.2022.11.007
- The IPCC Sixth Assessment Report WGIII climate assessment of mitigation pathways: from emissions to global temperatures J. Kikstra et al. 10.5194/gmd-15-9075-2022
- Global agricultural N2O emission reduction strategies deliver climate benefits with minimal impact on stratospheric O3 recovery J. Weber et al. 10.1038/s41612-024-00678-2
- The Montreal Protocol is delaying the occurrence of the first ice-free Arctic summer M. England & L. Polvani 10.1073/pnas.2211432120
- AgriFoodPy: a package for modelling food systems J. Cordero et al. 10.21105/joss.06305
- Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. 10.1029/2021EF002644
- Net Zero: Science, Origins, and Implications M. Allen et al. 10.1146/annurev-environ-112320-105050
- The social costs of hydrofluorocarbons and the benefits from their expedited phase-down T. Tan et al. 10.1038/s41558-023-01898-9
- How much methane removal is required to avoid overshooting 1.5 ∘C? C. Smith & C. Mathison 10.1088/1748-9326/ad5853
- Hector V3.2.0: functionality and performance of a reduced-complexity climate model K. Dorheim et al. 10.5194/gmd-17-4855-2024
- High radiative forcing climate scenario relevance analyzed with a ten-million-member ensemble M. Sarofim et al. 10.1038/s41467-024-52437-9
- Tonga eruption increases chance of temporary surface temperature anomaly above 1.5 °C S. Jenkins et al. 10.1038/s41558-022-01568-2
- Climate uncertainty impacts on optimal mitigation pathways and social cost of carbon C. Smith et al. 10.1088/1748-9326/acedc6
- Matilda v1.0: An R package for probabilistic climate projections using a reduced complexity climate model J. Brown et al. 10.1371/journal.pclm.0000295
- From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3) L. Beusch et al. 10.5194/gmd-15-2085-2022
- Methane and the Paris Agreement temperature goals M. Cain et al. 10.1098/rsta.2020.0456
- The social cost of methane C. Azar et al. 10.1007/s10584-023-03540-1
- Comprehensive evidence implies a higher social cost of CO2 K. Rennert et al. 10.1038/s41586-022-05224-9
- Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy C. Jones et al. 10.5194/esd-15-1319-2024
- Chemistry-albedo feedbacks offset up to a third of forestation’s CO 2 removal benefits J. Weber et al. 10.1126/science.adg6196
- Global-to-local-to-global interactions and climate change U. Baldos et al. 10.1088/1748-9326/acc95c
- Path analysis for controlling climate change in global aviation Q. Cui et al. 10.1016/j.isci.2024.110126
- Enhancing Carbon Sequestration: A Systematic Literature Review of Spatial Decision Support Tools E. Tarasova et al. 10.3390/su16125045
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1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 06 Nov 2024
Short summary
This paper presents an update of the FaIR simple climate model, which can estimate the impact of anthropogenic greenhouse gas and aerosol emissions on the global climate. This update aims to significantly increase the structural simplicity of the model, making it more understandable and transparent. This simplicity allows it to be implemented in a wide range of environments, including Excel. We suggest that it could be used widely in academia, corporate research, and education.
This paper presents an update of the FaIR simple climate model, which can estimate the impact of...
