A computationally efficient method for probabilistic local warming projections constrained by history matching and pattern scaling, demonstrated by WASP–LGRTC-1.0

Goodwin, Philip; Leduc, Martin; Partanen, Antti-Ilari; Matthews, H. Damon; Rogers, Alex

doi:https://doi.org/10.5194/gmd-13-5389-2020

Articles | Volume 13, issue 11

https://doi.org/10.5194/gmd-13-5389-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-5389-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 11

Model description paper

|

09 Nov 2020

Model description paper |

| 09 Nov 2020

A computationally efficient method for probabilistic local warming projections constrained by history matching and pattern scaling, demonstrated by WASP–LGRTC-1.0

Philip Goodwin, Martin Leduc, Antti-Ilari Partanen, H. Damon Matthews, and Alex Rogers

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Final revised paper (published on 09 Nov 2020)
Supplement to the final revised paper
Preprint (discussion started on 17 Oct 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

SC1: 'Executive Editor Comment on gmd-2019-264', Astrid Kerkweg, 15 Nov 2019
RC1: 'Review of Goodwin et al.', Christopher Smith, 13 Dec 2019
RC2: 'Review of 'A computationally efficient model for probabilistic local warming projections constrained by history matching and pattern scaling' by Goodwin et al.', Anonymous Referee #2, 10 Jan 2020
- EC1: 'Minor corrections to review', James Annan, 16 Jan 2020
AC1: 'Authors Final Comment', P. Goodwin, 12 Feb 2020

Peer-review completion

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

AR by P. Goodwin on behalf of the Authors (11 May 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (04 Jun 2020) by James Annan

RR by Anonymous Referee #2 (22 Jun 2020)

ED: Publish subject to minor revisions (review by editor) (21 Aug 2020) by James Annan

AR by P. Goodwin on behalf of the Authors (26 Aug 2020) Author's response Manuscript

ED: Publish as is (27 Sep 2020) by James Annan

Short summary

Numerical climate models are used to make projections of future surface warming for different pathways of future greenhouse gas emissions, where future surface warming will vary from place to place. However, it is so expensive to run complex models using supercomputers that future projections can only be produced for a small number of possible future emissions pathways. This study presents an efficient climate model to make projections of local surface warming using a desktop computer.