the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimates of climatic influence on the carbon cycle
Abstract. The influence of climatic change on the carbon cycle is important as part of a CO2-climate feedback loop. However the magnitude of the coupling depends on the timescales involved. We expand on previous analyses of the ice-core CO2 data from the pre-industrial period 1000–1750, extending the analysis into the 20th century. Our results emphasise the limitations of characterising the climate-to-CO2 influence by a single number γ. Even once a time-scale dependence is incorporated, the coldest part of the Little Ice Age seems to reflect different behaviour to that in earlier or later centuries. Different temperature reconstructions appear to capture distinct aspects of pre-industrial climate fluctuations that lacked global coherence. An exploratory study extends the analysis into the industrial period. In this study, most paleo-temperature data fail to fit the plateau (or plateaus) in 20th century ice-core CO2, with one particular reconstruction as an exception. One interpretation of this fit is that although the reconstruction does not closely reflect hemispheric temperature changes, it samples a pattern of variation where the terrestrial carbon exchange is anomalously sensitive to regional climate variations. These various results suggest that this type of empirical study may have limited applicability to the 21st century.
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This preprint has been withdrawn.
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Preprint
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Interactive discussion
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RC1: 'Review', Anonymous Referee #1, 05 Oct 2019
- AC5: 'Final response', Ian Enting, 29 Nov 2019
- AC1: 'Proposed change of notation.', Ian Enting, 07 Oct 2019
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RC2: 'REVIEW', Anonymous Referee #2, 07 Oct 2019
- AC3: 'Context of Laplace transforms. Background for detailed response.', Ian Enting, 13 Nov 2019
- AC4: 'Response to line-by-line comments', Ian Enting, 15 Nov 2019
- AC5: 'Final response', Ian Enting, 29 Nov 2019
- AC2: 'Re line 21. (Reply to referee 2)', Ian Enting, 08 Oct 2019
- SC1: 'Equation 4 (Reply to referee 2)', Nathan Clisby, 21 Oct 2019
Interactive discussion
-
RC1: 'Review', Anonymous Referee #1, 05 Oct 2019
- AC5: 'Final response', Ian Enting, 29 Nov 2019
- AC1: 'Proposed change of notation.', Ian Enting, 07 Oct 2019
-
RC2: 'REVIEW', Anonymous Referee #2, 07 Oct 2019
- AC3: 'Context of Laplace transforms. Background for detailed response.', Ian Enting, 13 Nov 2019
- AC4: 'Response to line-by-line comments', Ian Enting, 15 Nov 2019
- AC5: 'Final response', Ian Enting, 29 Nov 2019
- AC2: 'Re line 21. (Reply to referee 2)', Ian Enting, 08 Oct 2019
- SC1: 'Equation 4 (Reply to referee 2)', Nathan Clisby, 21 Oct 2019
Data sets
enting_esd.zip: R code and data sets required to produce the results and plots in "Estimates of Climatic Influence on the Carbon Cycle" I. Enting https://doi.org/10.6084/m9.figshare.9248534
Model code and software
enting_esd.zip: R code and data sets required to produce the results and plots in "Estimates of Climatic Influence on the Carbon Cycle" I. Enting https://doi.org/10.6084/m9.figshare.9248534
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Cited
4 citations as recorded by crossref.
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model G. Torres Mendonça et al. 10.5194/npg-28-533-2021
- Timescale dependence of airborne fraction and underlying climate–carbon-cycle feedbacks for weak perturbations in CMIP5 models G. Torres Mendonça et al. 10.5194/bg-21-1923-2024
- Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration G. Torres Mendonça et al. 10.5194/npg-28-501-2021
- Response function analysis of carbon dioxide and climate using the Padé-Laplace technique I. Enting 10.3934/geosci.2022020