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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- Quantifying negative radiative forcing of non-permanent and permanent soil carbon sinks J. Leifeld & S. Keel 10.1016/j.geoderma.2022.115971
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- Optimal Strategies for Climate Change Mitigation M. Arrighini et al. 10.1016/j.ifacol.2024.07.095
- The point of no return for climate action: effects of climate uncertainty and risk tolerance M. Aengenheyster et al. 10.5194/esd-9-1085-2018
- Climate economics support for the UN climate targets M. Hänsel et al. 10.1038/s41558-020-0833-x
- Estimating a social cost of carbon for global energy consumption A. Rode et al. 10.1038/s41586-021-03883-8
- The effect of uncertainties in natural forcing records on simulated temperature during the last millennium L. Lücke et al. 10.5194/cp-19-959-2023
- Global Temperature and Carbon Dioxide Nexus: Evidence from a Maximum Entropy Approach P. Macedo & M. Madaleno 10.3390/en16010277
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- Feedback, dynamics, and optimal control in climate economics C. Kellett et al. 10.1016/j.arcontrol.2019.04.003
- The Multi‐Decadal Response to Net Zero CO2 Emissions and Implications for Emissions Policy S. Jenkins et al. 10.1029/2022GL101047
- Monetizing the externalities of animal agriculture: insights from an inclusive welfare function K. Kuruc & J. McFadden 10.1007/s00355-023-01451-9
- Path analysis for controlling climate change in global aviation Q. Cui et al. 10.1016/j.isci.2024.110126
- Quantifying non-CO2 contributions to remaining carbon budgets S. Jenkins et al. 10.1038/s41612-021-00203-9
- Carbon budget concept and its deviation through the pulse response lens V. Avakumović 10.5194/esd-15-387-2024
- Quantifying the probability distribution function of the transient climate response to cumulative CO2 emissions L. Spafford & A. MacDougall 10.1088/1748-9326/ab6d7b
- DICE and the Carbon Budget for Ambitious Climate Targets C. Azar & D. Johansson 10.1029/2021EF002041
- The role of prior assumptions in carbon budget calculations B. Sanderson 10.5194/esd-11-563-2020
- Estimating the timing of geophysical commitment to 1.5 and 2.0 °C of global warming M. Dvorak et al. 10.1038/s41558-022-01372-y
- The social costs of hydrofluorocarbons and the benefits from their expedited phase-down T. Tan et al. 10.1038/s41558-023-01898-9
- The utility of the historical record for assessing the transient climate response to cumulative emissions R. Millar & P. Friedlingstein 10.1098/rsta.2016.0449
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Latest update: 16 Nov 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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