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Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O 2 , neural networks and back-calculations.

Rémy AsselotLidia I CarracedoVirginie ThierryHerlé MercierRaphaël BajonFiz F Pérez
Published in: Nature communications (2024)
The subpolar North Atlantic (SPNA) is a region of high anthropogenic CO 2 (C ant ) storage per unit area. Although the average C ant distribution is well documented in this region, the C ant pathways towards the ocean interior remain largely unresolved. We used observations from three Argo-O 2 floats spanning 2013-2018 within the SPNA, combined with existing neural networks and back-calculations, to determine the C ant evolution along the float pathways from a quasi-lagrangian perspective. Our results show that C ant follows a stepwise deepening along its way through the SPNA. The upper subtropical waters have a stratified C ant distribution that homogenizes within the winter mixed layer by Subpolar Mode Water formation in the Iceland Basin. In the Irminger and Labrador Basins, the high-C ant footprint (> 55 μmol kg -1 ) is mixed down to 1400 and 1800 dbar, respectively, by deep winter convection. As a result, the maximum C ant concentration is diluted (<45 μmol kg -1 ). Our study highlights the role of water mass transformation as a first-order mechanism for C ant penetration into the ocean. It also demonstrates the potential of Argo-O 2 observations, combined with existing methods, to obtain reliable C ant estimates, opening ways to study the oceanic C ant content at high spatio-temporal resolution.
Keyphrases
  • neural network
  • climate change
  • molecular dynamics
  • single molecule
  • human health
  • organic matter