Articles | Volume 10, issue 1
https://doi.org/10.5194/esd-10-135-2019
https://doi.org/10.5194/esd-10-135-2019
Research article
 | 
14 Mar 2019
Research article |  | 14 Mar 2019

On the future role of the most parsimonious climate module in integrated assessment

Mohammad M. Khabbazan and Hermann Held

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reject (25 Aug 2017) by Fubao Sun
ED: Reconsider after major revisions (22 Jan 2018) by Fubao Sun
AR by Mohammad M. Khabbazan on behalf of the Authors (23 Jun 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (10 Aug 2018) by Fubao Sun
RR by Anonymous Referee #2 (27 Aug 2018)
RR by Anonymous Referee #3 (31 Aug 2018)
ED: Reconsider after major revisions (09 Oct 2018) by Fubao Sun
AR by Mohammad M. Khabbazan on behalf of the Authors (19 Nov 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Nov 2018) by Fubao Sun
RR by Anonymous Referee #2 (14 Dec 2018)
ED: Reconsider after major revisions (11 Jan 2019) by Fubao Sun
AR by Mohammad M. Khabbazan on behalf of the Authors (15 Jan 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (13 Feb 2019) by Fubao Sun
RR by Anonymous Referee #2 (14 Feb 2019)
ED: Publish subject to technical corrections (21 Feb 2019) by Fubao Sun
AR by Mohammad M. Khabbazan on behalf of the Authors (28 Feb 2019)  Manuscript 
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Short summary
We find that for mitigation scenarios, prescribing atmosphere–ocean general circulation models' (AOGCMs') respective equilibrium climate sensitivities (ECSs) and transient climate responses (TCRs) to the one-box model results in too high global mean temperature projections due to the information loss resulting from the reduction of complexity. The one-box model offers a good emulator of these AOGCMs, provided the AOGCM's ECS and TCR values are mapped onto effective one-box counterparts.
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