ESD Ideas: The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin

Lohmann, Gerrit

doi:https://doi.org/10.5194/esd-9-1279-2018

Articles | Volume 9, issue 4

https://doi.org/10.5194/esd-9-1279-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

ESD Ideas

https://doi.org/10.5194/esd-9-1279-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 9, issue 4

ESD Ideas

| Highlight paper

|

12 Nov 2018

ESD Ideas | Highlight paper |

| 12 Nov 2018

ESD Ideas: The stochastic climate model shows that underestimated Holocene trends and variability represent two sides of the same coin

Gerrit Lohmann

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Final revised paper (published on 12 Nov 2018)
Preprint (discussion started on 25 Jun 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 10 Aug 2018
- AC1: 'Answer to Referee #1', Gerrit Lohmann, 14 Aug 2018
RC2: 'Clarifications needed about time-scale scope, mathematical notations, and feasibility', Michel Crucifix, 13 Aug 2018
- AC2: 'Answer to Referee #2 (M. Crucifix)', Gerrit Lohmann, 14 Aug 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (21 Sep 2018) by Anders Levermann

AR by Gerrit Lohmann on behalf of the Authors (18 Oct 2018) Author's response Manuscript

ED: Publish as is (19 Oct 2018) by Anders Levermann

AR by Gerrit Lohmann on behalf of the Authors (25 Oct 2018)

Short summary

Long-term sea surface temperature trends and variability are underestimated in models compared to paleoclimate data. The idea is presented that the trends and variability are related, which is elaborated in a conceptual model framework. The temperature spectrum can be used to estimate the timescale-dependent climate sensitivity.