Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 9, issue 1
Articles | Volume 9, issue 1
https://doi.org/10.5194/esd-9-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-9-15-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 1
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, David P. Keller, and Andreas Oschlies

Viewed

Total article views: 3,512 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,572 783 157 3,512 400 155 131
  • HTML: 2,572
  • PDF: 783
  • XML: 157
  • Total: 3,512
  • Supplement: 400
  • BibTeX: 155
  • EndNote: 131
Views and downloads (calculated since 08 Aug 2017)
Cumulative views and downloads (calculated since 08 Aug 2017)

Viewed (geographical distribution)

Total article views: 3,512 (including HTML, PDF, and XML) Thereof 3,413 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Nov 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint