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: 3,633 (including HTML, PDF, and XML)
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2,365
934
334
3,633
257
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188
HTML: 2,365
PDF: 934
XML: 334
Total: 3,633
Supplement: 257
BibTeX: 175
EndNote: 188
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads
(calculated since 14 Oct 2024)
Total article views: 2,092 (including HTML, PDF, and XML)
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EndNote
1,699
278
115
2,092
122
120
108
HTML: 1,699
PDF: 278
XML: 115
Total: 2,092
Supplement: 122
BibTeX: 120
EndNote: 108
Views and downloads (calculated since 17 Jul 2025)
Cumulative views and downloads
(calculated since 17 Jul 2025)
Total article views: 1,541 (including HTML, PDF, and XML)
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EndNote
666
656
219
1,541
135
55
80
HTML: 666
PDF: 656
XML: 219
Total: 1,541
Supplement: 135
BibTeX: 55
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: 3,633 (including HTML, PDF, and XML)
Thereof 3,519 with geography defined
and 114 with unknown origin.
Total article views: 2,092 (including HTML, PDF, and XML)
Thereof 2,059 with geography defined
and 33 with unknown origin.
Total article views: 1,541 (including HTML, PDF, and XML)
Thereof 1,460 with geography defined
and 81 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...