Articles | Volume 12, issue 3
Earth Syst. Dynam., 12, 899–918, 2021
https://doi.org/10.5194/esd-12-899-2021
Earth Syst. Dynam., 12, 899–918, 2021
https://doi.org/10.5194/esd-12-899-2021

Review 23 Aug 2021

Review | 23 Aug 2021

The potential for structural errors in emergent constraints

Benjamin M. Sanderson et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on esd-2020-85', Anonymous Referee #1, 10 Mar 2021
    • AC1: 'Reply on RC1', Ben Sanderson, 30 Apr 2021
  • RC2: 'Comment on esd-2020-85', Anonymous Referee #2, 15 Mar 2021
    • AC2: 'Reply on RC2', Ben Sanderson, 30 Apr 2021
  • RC3: 'Comment on esd-2020-85', Anonymous Referee #3, 17 Mar 2021
    • AC3: 'Reply on RC3', Ben Sanderson, 30 Apr 2021
  • CC1: 'Comment on esd-2020-85', Richard Rosen, 19 Mar 2021
    • AC4: 'Reply on CC1', Ben Sanderson, 30 Apr 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (04 May 2021) by Christoph Heinze
AR by Ben Sanderson on behalf of the Authors (25 May 2021)  Author's response
ED: Referee Nomination & Report Request started (31 May 2021) by Christoph Heinze
RR by Anonymous Referee #1 (12 Jun 2021)
ED: Reconsider after major revisions (15 Jun 2021) by Christoph Heinze
AR by Ben Sanderson on behalf of the Authors (08 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (09 Jul 2021) by Christoph Heinze
AR by Ben Sanderson on behalf of the Authors (12 Jul 2021)  Author's response    Manuscript
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Short summary
Emergent constraints promise a pathway to the reduction in climate projection uncertainties by exploiting ensemble relationships between observable quantities and unknown climate response parameters. This study considers the robustness of these relationships in light of biases and common simplifications that may be present in the original ensemble of climate simulations. We propose a classification scheme for constraints and a number of practical case studies.
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