Journal cover Journal topic
Climate of the Past An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.174 IF 3.174
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.48 CiteScore
    3.48
  • SNIP value: 1.078 SNIP 1.078
  • SJR value: 1.981 SJR 1.981
  • IPP value: 3.38 IPP 3.38
  • h5-index value: 42 h5-index 42
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 58 Scimago H
    index 58
Discussion papers
https://doi.org/10.5194/cp-2016-23
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/cp-2016-23
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Technical note 15 Mar 2016

Technical note | 15 Mar 2016

Review status
This discussion paper is a preprint. It has been under review for the journal Climate of the Past (CP). The revised manuscript was not accepted.

Technical Note: Calculating state dependent equilibrium climate sensitivity from palaeodata

Peter Köhler1, Lennert B. Stap2, Anna S. von der Heydt2, Bas de Boer3, and Roderik S. W. van de Wal2 Peter Köhler et al.
  • 1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar-und Meeresforschung (AWI), P.O. Box 12 01 61, 27515 Bremerhaven, Germany
  • 2Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Princetonplein 5, 3584 CC Utrecht, The Netherlands
  • 3School of Earth and Environment, University of Leeds, Leeds, UK

Abstract. The evidence from both data and models indicate that specific equilibrium climate sensitivity S[X] – the global annual mean surface temperature change (∆Tg) as a response to a change in radiative forcing X (∆R[X]) – is state dependent. Such a state dependency implies that the best fit in the scatter plot of ∆Tg versus ∆R[X] is not a linear regression, but for instance a higher order polynomial. While for the conventional linear case the slope (gradient) of the regression is correctly interpreted as the specific equilibrium climate sensitivity S[X], the interpretation is not straightforward in the non-linear case. We here elaborate how such a state dependent scatter plot needs to be interpreted, and provide a theoretical understanding how to calculate S[X] in the non-linear case.

Peter Köhler et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Peter Köhler et al.
Peter Köhler et al.
Viewed  
Total article views: 1,097 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
821 195 81 1,097 20 78
  • HTML: 821
  • PDF: 195
  • XML: 81
  • Total: 1,097
  • BibTeX: 20
  • EndNote: 78
Views and downloads (calculated since 15 Mar 2016)
Cumulative views and downloads (calculated since 15 Mar 2016)
Cited  
Saved  
Discussed  
No discussed metrics found.
Latest update: 25 Mar 2019
Publications Copernicus
Download
Short summary
Evidence indicate that specific equilibrium climate sensitivity, the global annual mean surface temperature change as a response to a change in radiative forcing, is state dependent. We here show that the interpretation of data in the state-dependent case is not straightforward. We analyse the differences of a point-wise approach and one based on a piece-wise linear analysis, combine both, compare with potential model results and apply the theoretical concepts to data of the last 800 kyr.
Evidence indicate that specific equilibrium climate sensitivity, the global annual mean surface...
Citation