Biogeosciences
Biogeosciences
BG
Articles | Volume 23, issue 12
Articles | Volume 23, issue 12
https://doi.org/10.5194/bg-23-4133-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-23-4133-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 12
Research article
 | 
23 Jun 2026
Research article |  | 23 Jun 2026

Data-based estimates of ocean carbon uptake biased high from neglect of submonthly atmospheric pressure variability

Jeanne Dombret, Hugo Bellenger, Xavier Perrot, Laëtitia Parc, Lester Kwiatkowski, Frédéric Chevallier, Laurent Bopp, Marion Gehlen, Roland Séférian, Sarah Berthet, and James C. Orr

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,582 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,501 35 46 1,582 20 21 21
  • HTML: 1,501
  • PDF: 35
  • XML: 46
  • Total: 1,582
  • Supplement: 20
  • BibTeX: 21
  • EndNote: 21
Views and downloads (calculated since 17 Dec 2025)
Cumulative views and downloads (calculated since 17 Dec 2025)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 1,582 (including HTML, PDF, and XML) Thereof 1,519 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 02 Aug 2026
Download
Short summary
Estimates of ocean CO2 uptake based on atmospheric and oceanic observations typically rely on monthly averages, except for wind speed. Thus they neglect effects of shorter-term events such as storms, which are included in models. Here we account for the effect of this shorter-term variability on ocean carbon uptake and find that it is reduced, mainly because storms lower atmospheric pressure. This refinement closes the gap between data-based and model-based estimates by 25 %.
Read more
Share
Altmetrics
Final-revised paper
Preprint