Articles | Volume 17, issue 11
https://doi.org/10.5194/acp-17-7213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7213-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A modified impulse-response representation of the global near-surface air temperature and atmospheric concentration response to carbon dioxide emissions
Richard J. Millar
CORRESPONDING AUTHOR
Department of Physics, University of Oxford, Oxford, UK
Oxford Martin Net Zero Carbon Investment Initiative, Oxford Martin School, University of Oxford, Oxford, UK
Department of Mathematics, University of Exeter, Exeter, UK
Zebedee R. Nicholls
Department of Physics, University of Oxford, Oxford, UK
Australian-German Climate & Energy College, University of Melbourne, Parkville, Victoria, Australia
Department of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia
Pierre Friedlingstein
Department of Mathematics, University of Exeter, Exeter, UK
Myles R. Allen
Department of Physics, University of Oxford, Oxford, UK
Oxford Martin Net Zero Carbon Investment Initiative, Oxford Martin School, University of Oxford, Oxford, UK
Environmental Change Institute, University of Oxford, Oxford, UK
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- Towards a FAIR-DICE IAM: Combining DICE and FAIR Models ⁎ ⁎TF acknowledges support from the Daimler Benz Foundation. TF, CMK, and SRW are supported by the Australian Research Council under ARC-DP180103026. T. Faulwasser et al. 10.1016/j.ifacol.2018.06.222
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Latest update: 14 Dec 2024
Short summary
Simple representations of the global coupled climate–carbon-cycle system are required for climate policy analysis. Existing models have often failed to capture important physical dependencies of the climate response to carbon dioxide emissions. In this paper we propose a simple but novel modification to impulse-response climate–carbon-cycle models to capture these physical dependencies. This simple model creates an important tool for both climate policy and climate science analysis.
Simple representations of the global coupled climate–carbon-cycle system are required for...
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