par Dutch, Victoria;Bakker, Dorothee C. E.;Roobaert, Alizée 
;Landschützer, Peter;Roden, Nicholas;Hoppema, Mario;Kaiser, Jan
Référence Global biogeochemical cycles, 39, 8
Publication Publié, 2025-08-01
;Landschützer, Peter;Roden, Nicholas;Hoppema, Mario;Kaiser, JanRéférence Global biogeochemical cycles, 39, 8
Publication Publié, 2025-08-01
Article révisé par les pairs
| Résumé : | Abstract The Arctic Ocean covers 3 % of the Earth's surface but is estimated to contribute 5–14 % to the global ocean carbon sink. Sparse and unevenly distributed observations complicate our understanding of the size and the controlling mechanisms of this carbon sink. We adopt and advance the two‐step neural network approach of Landschützer et al. (2016, https://doi.org/10.1002/2015gb005359 ; Self Organizing Map—Feed Forward Network) to improve region‐specific reconstructions of the surface ocean partial pressure of carbon dioxide (()) in the Arctic Ocean and subsequently estimate the air‐sea flux. Our study shows that biogeochemical properties previously selected as predictor variables for () at the global scale are not well suited to the Arctic Ocean and a sensitivity study reveals large differences in the size of the Arctic Ocean carbon sink depending on the choice of air‐sea flux parameterization. This is most acute for those relating to sea ice cover, leading to a difference of up to 25 % (9.2–13.3 Pg C) in the total size of the Arctic Ocean carbon sink over the 32‐year duration of the study. |
