Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5269–5284, 2021
https://doi.org/10.5194/gmd-14-5269-2021
Geosci. Model Dev., 14, 5269–5284, 2021
https://doi.org/10.5194/gmd-14-5269-2021

Model experiment description paper 20 Aug 2021

Model experiment description paper | 20 Aug 2021

ATTRICI v1.1 – counterfactual climate for impact attribution

Matthias Mengel et al.

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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
AR by Sarah Buchmann on behalf of the Authors (13 Jan 2021)  Author's response
ED: Referee Nomination & Report Request started (01 Feb 2021) by Juan Antonio Añel
RR by Anonymous Referee #1 (16 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (25 Feb 2021) by Juan Antonio Añel
AR by Matthias Mengel on behalf of the Authors (01 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (20 Jun 2021) by Juan Antonio Añel
AR by Matthias Mengel on behalf of the Authors (29 Jun 2021)  Author's response    Manuscript
ED: Publish as is (29 Jun 2021) by Juan Antonio Añel
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Short summary
To identify the impacts of historical climate change it is necessary to separate the effect of the different impact drivers. To address this, one needs to compare historical impacts to a counterfactual world with impacts that would have been without climate change. We here present an approach that produces counterfactual climate data and can be used in climate impact models to simulate counterfactual impacts. We make these data available through the ISIMIP project.