Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay, Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay, Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA/CNRS/UVSQ, Université Paris-Saclay, Centre d'Etudes de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette, France
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Total article views: 3,154 (including HTML, PDF, and XML)
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2,007
847
300
3,154
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158
HTML: 2,007
PDF: 847
XML: 300
Total: 3,154
Supplement: 215
BibTeX: 135
EndNote: 158
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads
(calculated since 14 Oct 2024)
Total article views: 1,678 (including HTML, PDF, and XML)
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EndNote
1,388
205
85
1,678
86
82
78
HTML: 1,388
PDF: 205
XML: 85
Total: 1,678
Supplement: 86
BibTeX: 82
EndNote: 78
Views and downloads (calculated since 17 Jul 2025)
Cumulative views and downloads
(calculated since 17 Jul 2025)
Total article views: 1,476 (including HTML, PDF, and XML)
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619
642
215
1,476
129
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80
HTML: 619
PDF: 642
XML: 215
Total: 1,476
Supplement: 129
BibTeX: 53
EndNote: 80
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads
(calculated since 14 Oct 2024)
Viewed (geographical distribution)
Total article views: 3,154 (including HTML, PDF, and XML)
Thereof 3,098 with geography defined
and 56 with unknown origin.
Total article views: 1,678 (including HTML, PDF, and XML)
Thereof 1,678 with geography defined
and 0 with unknown origin.
Total article views: 1,476 (including HTML, PDF, and XML)
Thereof 1,414 with geography defined
and 62 with unknown origin.
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.
We introduce a novel approach to compare Earth system model output using a causality-based...