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Earth System Dynamics An interactive open-access journal of the European Geosciences Union
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ESD | Articles | Volume 9, issue 1
Earth Syst. Dynam., 9, 15–31, 2018
https://doi.org/10.5194/esd-9-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Dynam., 9, 15–31, 2018
https://doi.org/10.5194/esd-9-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Jan 2018

Research article | 15 Jan 2018

Systematic Correlation Matrix Evaluation (SCoMaE) – a bottom–up, science-led approach to identifying indicators

Nadine Mengis et al.
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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: Publish subject to minor revisions (review by editor) (16 Nov 2017) by Ben Kravitz
AR by Nadine Mengis on behalf of the Authors (20 Nov 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (21 Nov 2017) by Ben Kravitz
AR by Nadine Mengis on behalf of the Authors (24 Nov 2017)  Author's response    Manuscript
ED: Publish as is (28 Nov 2017) by Ben Kravitz
Publications Copernicus
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Short summary
The Systematic Correlation Matrix Evaluation (SCoMaE) method applies statistical information to systematically select, transparent, nonredundant indicators for a comprehensive assessment of the Earth system state. We show that due to changing climate forcing, such as anthropogenic climate change, the ad hoc assessment indicators might need to be reevaluated. Within an iterative process, this method would allow us to select scientifically consistent and societally relevant assessment indicators.
The Systematic Correlation Matrix Evaluation (SCoMaE) method applies statistical information to...
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