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: 3,599 (including HTML, PDF, and XML)
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2,344
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3,599
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187
HTML: 2,344
PDF: 925
XML: 330
Total: 3,599
Supplement: 254
BibTeX: 173
EndNote: 187
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads
(calculated since 14 Oct 2024)
Total article views: 2,069 (including HTML, PDF, and XML)
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EndNote
1,684
273
112
2,069
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107
HTML: 1,684
PDF: 273
XML: 112
Total: 2,069
Supplement: 121
BibTeX: 118
EndNote: 107
Views and downloads (calculated since 17 Jul 2025)
Cumulative views and downloads
(calculated since 17 Jul 2025)
Total article views: 1,530 (including HTML, PDF, and XML)
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660
652
218
1,530
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80
HTML: 660
PDF: 652
XML: 218
Total: 1,530
Supplement: 133
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: 3,599 (including HTML, PDF, and XML)
Thereof 3,498 with geography defined
and 101 with unknown origin.
Total article views: 2,069 (including HTML, PDF, and XML)
Thereof 2,047 with geography defined
and 22 with unknown origin.
Total article views: 1,530 (including HTML, PDF, and XML)
Thereof 1,451 with geography defined
and 79 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...