Preprints
https://doi.org/10.5194/cp-2020-59
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-2020-59
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
28 Apr 2020
| 28 Apr 2020
Status: this discussion paper is a preprint. It has been under review for the journal Climate of the Past (CP). The manuscript was not accepted for further review after discussion.
Technical note: Pleistocene climate sensitivity to CO2 forcing is path dependent in reconstructions
Abstract. Improved high-resolution paleo records of atmospheric carbon dioxide (CO2) concentrations and reconstructions of Earth’s surface temperature are available. We analyse one authoritative Pleistocene dataset to explore how the climate sensitivity parameter S varies under different system states, using linear regression of mean annual surface temperature changes against CO2 forcing changes. Data are partitioned by path (deglaciation or glaciation). On the whole data set, S = 2.04 K/Wm−2 and CO2 forcing explains 64 % of the variance in temperature. During deglaciation periods, S = 2.34 K/Wm−2, explaining 75 % of the temperature variance; during glaciations, S = 1.59 K/Wm−2 and explains 48 % of the temperature variance. Possible process-related explanations are conjectured.
How to cite. Cooke, R. M. and Aspinall, W. P.: Technical note: Pleistocene climate sensitivity to CO2 forcing is path
dependent in reconstructions, Clim. Past Discuss. [preprint], https://doi.org/10.5194/cp-2020-59, 2020.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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- Supplement
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RC1: 'Nothing new, too simple, too short, simply wrong', Anonymous Referee #1, 20 May 2020
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AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
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AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
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AC1: 'reply RC 1', Roger Cooke, 20 May 2020
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AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
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RC2: 'Too simple, poor understanding of the issue, and brings nothing new', Anonymous Referee #2, 25 May 2020
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AC3: 'Reply to referee #2', Roger Cooke, 04 Jul 2020
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AC3: 'Reply to referee #2', Roger Cooke, 04 Jul 2020
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Nothing new, too simple, too short, simply wrong', Anonymous Referee #1, 20 May 2020
-
AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
-
AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
-
AC1: 'reply RC 1', Roger Cooke, 20 May 2020
-
AC2: 'What’s New, What’s Wrong: Response to Reviewer #1', Roger Cooke, 24 May 2020
-
RC2: 'Too simple, poor understanding of the issue, and brings nothing new', Anonymous Referee #2, 25 May 2020
-
AC3: 'Reply to referee #2', Roger Cooke, 04 Jul 2020
-
AC3: 'Reply to referee #2', Roger Cooke, 04 Jul 2020
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Roger M. Cooke
Resources for the Future, Washington DC, 200036 USA
Willy P. Aspinall
School of Earth Sciences, University of Bristol, Bristol, UK
Short summary
The climate sensitivity parameter S varies under different system states, using linear regression of mean annual surface temperature changes against CO2 forcing changes. Pleistocene data are partitioned by path (deglaciation or glaciation). On the whole data set, S = 2.04 K/Wm−2 and CO2 forcing explains 64 % of the temperature variance. During deglaciation periods, S = 2.34 K/Wm−2, explaining 75 % of the temperature variance; during glaciations, S = 1.59 K/Wm−2 and explains 48 % of the variance.
The climate sensitivity parameter S varies under different system states, using linear...