Biogeosciences
Biogeosciences
BG
Articles | Volume 20, issue 18
Articles | Volume 20, issue 18
https://doi.org/10.5194/bg-20-3919-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-3919-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 18
Research article
 | 
27 Sep 2023
Research article |  | 27 Sep 2023

Estimating marine carbon uptake in the northeast Pacific using a neural network approach

Patrick J. Duke, Roberta C. Hamme, Debby Ianson, Peter Landschützer, Mohamed M. M. Ahmed, Neil C. Swart, and Paul A. Covert

Viewed

Total article views: 5,417 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,569 1,334 514 5,417 650 663 601
  • HTML: 3,569
  • PDF: 1,334
  • XML: 514
  • Total: 5,417
  • Supplement: 650
  • BibTeX: 663
  • EndNote: 601
Views and downloads (calculated since 15 May 2023)
Cumulative views and downloads (calculated since 15 May 2023)

Viewed (geographical distribution)

Total article views: 5,417 (including HTML, PDF, and XML) Thereof 5,277 with geography defined and 140 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 02 Nov 2026
Download
Short summary
The ocean is both impacted by climate change and helps mitigate its effects through taking up carbon from the atmosphere. We used a machine learning approach to investigate what controls open-ocean carbon uptake in the northeast Pacific open ocean. Marine heatwaves that lasted 2–3 years increased uptake, while the upwelling strength of the Alaskan Gyre controlled uptake over 10-year time periods. The trend from 1998–2019 suggests carbon uptake in the northeast Pacific open ocean is increasing.
Read more
Share
Altmetrics
Final-revised paper
Preprint