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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

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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 %.
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