Articles | Volume 16, issue 4
https://doi.org/10.5194/esd-16-1085-2025
https://doi.org/10.5194/esd-16-1085-2025
Research article
 | 
17 Jul 2025
Research article |  | 17 Jul 2025

A causality-based method for multi-model comparison: application to relationships between atmospheric, oceanic and marine biogeochemical variables

Germain Bénard, Marion Gehlen, and Mathieu Vrac

Viewed

Total article views: 785 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
443 140 202 785 59 42 39
  • HTML: 443
  • PDF: 140
  • XML: 202
  • Total: 785
  • Supplement: 59
  • BibTeX: 42
  • EndNote: 39
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads (calculated since 14 Oct 2024)

Viewed (geographical distribution)

Total article views: 785 (including HTML, PDF, and XML) Thereof 779 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jul 2025
Download
Short summary
We introduce a novel approach to compare Earth system model output using a causality-based approach. The analysis of interactions between atmospheric, oceanic and biogeochemical variables in the North Atlantic subpolar gyre highlights the dynamics of each model. This method reveals potential underlying causes of model differences, offering a tool for enhanced model evaluation and improved understanding of complex Earth system dynamics under past and future climates.
Share
Altmetrics
Final-revised paper
Preprint