Articles | Volume 22, issue 4
https://doi.org/10.5194/bg-22-841-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-22-841-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
18 Feb 2025
Research article | Highlight paper |
| 18 Feb 2025
| 18 Feb 2025
Toward more robust net primary production projections in the North Atlantic Ocean
Stéphane Doléac
CORRESPONDING AUTHOR
Laboratoire d’Océanographie et du Climat: Expérimentations et Analyses Numériques de l’Institut Pierre Simon Laplace (LOCEAN-IPSL) – Sorbonne Université, CNRS, IRD, MHNH, Paris, France
École des Ponts, Marne-la-Vallée, France
Marina Lévy
Laboratoire d’Océanographie et du Climat: Expérimentations et Analyses Numériques de l’Institut Pierre Simon Laplace (LOCEAN-IPSL) – Sorbonne Université, CNRS, IRD, MHNH, Paris, France
Roy El Hourany
Laboratoire d'Océanologie et de Géosciences (LOG) – Université du Littoral Côte d'Opale, Université de Lille, CNRS, IRD, Wimereux, France
Laurent Bopp
Laboratoire de Météorologie Dynamique de l'Institut Pierre-Simon Laplace (LMD-IPSL), Ecole Normale Supérieure – Université PSL, CNRS, Ecole Polytechnique, Sorbonne Université, Paris, France
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Editorial statement
This study presents a new methodology to address the divergent projections of Net Primary Production in the North Atlantic Ocean in the last phase 6 of CMIP. The method is based on the process-based selection of models in the different ocean regions. This method can contribute to improve the reliability of climate change impact assessments on ecosystems and human societies.
This study presents a new methodology to address the divergent projections of Net Primary...
Short summary
The marine biogeochemistry components of Coupled Model Intercomparison Project phase 6 (CMIP6) models vary widely in their process representations. Using an innovative bioregionalization of the North Atlantic, we reveal that this model diversity largely drives the divergence in net primary production projections under a high-emission scenario. The identification of the most mechanistically realistic models allows for a substantial reduction in projection uncertainty.
The marine biogeochemistry components of Coupled Model Intercomparison Project phase 6 (CMIP6)...
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