Biogeosciences
Biogeosciences
BG
Articles | Volume 22, issue 4
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.
https://doi.org/10.5194/bg-22-841-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 4
Research article
 | Highlight paper
 | 
18 Feb 2025
Research article | Highlight paper |  | 18 Feb 2025

Toward more robust net primary production projections in the North Atlantic Ocean

Stéphane Doléac, Marina Lévy, Roy El Hourany, and Laurent Bopp

Viewed

Total article views: 868 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
498 137 233 868 19 20
  • HTML: 498
  • PDF: 137
  • XML: 233
  • Total: 868
  • BibTeX: 19
  • EndNote: 20
Views and downloads (calculated since 03 Jul 2024)
Cumulative views and downloads (calculated since 03 Jul 2024)

Viewed (geographical distribution)

Total article views: 868 (including HTML, PDF, and XML) Thereof 851 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Feb 2025
Download
Co-editor-in-chief
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.
Read more
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint