Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations

12 pages, 5 figures.-- This article is licensed under a Creative Commons Attribution 4.0 International License

Detalles Bibliográficos
Autores: Asselot, Rémy, Carracedo, L., Thierry, V., Mercier, Herlé, Bajon, Raphaël, Pérez, Fiz F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/348258
Acceso en línea:http://hdl.handle.net/10261/348258
Access Level:acceso abierto
Palabra clave:Carbon cycle
Physical oceanography
carbon cycle
physical oceanography
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spelling Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculationsAsselot, RémyCarracedo, L.Thierry, V.Mercier, HerléBajon, RaphaëlPérez, Fiz F.Carbon cyclePhysical oceanographycarbon cyclephysical oceanography12 pages, 5 figures.-- This article is licensed under a Creative Commons Attribution 4.0 International LicenseThe subpolar North Atlantic (SPNA) is a region of high anthropogenic CO2 (Cant) storage per unit area. Although the average Cant distribution is well documented in this region, the Cant pathways towards the ocean interior remain largely unresolved. We used observations from three Argo-O2 floats spanning 2013-2018 within the SPNA, combined with existing neural networks and back-calculations, to determine the Cant evolution along the float pathways from a quasi-lagrangian perspective. Our results show that Cant follows a stepwise deepening along its way through the SPNA. The upper subtropical waters have a stratified Cant 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-Cant footprint (> 55 μmol kg−1) is mixed down to 1400 and 1800 dbar, respectively, by deep winter convection. As a result, the maximum Cant concentration is diluted (<45 μmol kg−1). Our study highlights the role of water mass transformation as a first-order mechanism for Cant penetration into the ocean. It also demonstrates the potential of Argo-O2 observations, combined with existing methods, to obtain reliable Cant estimates, opening ways to study the oceanic Cant content at high spatio-temporal resolutionR.A. has received funding, as part of the EuroSea project, from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 862626. L.I.C., V.T., and R.B. acknowledge support from Ifremer. H.M. was supported by CNRS. F.F.P. was supported by the BOCATS2 (PID2019-104279GB-C21) project funded by MCIN/AEI/10.13039/501100011033. This work is a contribution to CSIC’s Thematic Interdisciplinary Platform PTI WATER:iOS. The authors gratefully acknowledge financial support by the Brittany Region for the CPER Bretagne ObsOcean 2021-2027 and from the French government within the framework of the “Investissements d’avenir” program integrated in France 2030 and managed by the Agence Nationale de la Recherche (ANR) under grant agreement no ANR-21-ESRE-0019 for the Equipex+ Argo-2030 projectPeer reviewedNature Publishing GroupEuropean CommissionInstitut Français de Recherche pour l'Exploitation de la MerCentre National de la Recherche Scientifique (France)Ministerio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/348258reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/862626info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104279GB-C21The underlying dataset has been published as supplementary material of the article in the publishers platform at DOI https://doi.org/10.1038/s41467-024-46074-5Asselot, Rémy; Carracedo, L.; Thierry, V.; Mercier, Herlé; Bajon, Raphaël; Pérez, Fiz F.; 2024; Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and backcalculations [Dataset]; Nature Publishing Group; https://doi.org/10.1038/s41467-024-46074-5. http://hdl.handle.net/10261/383918https://doi.org/10.1038/s41467-024-46074-5Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3482582026-05-22T06:33:51Z
dc.title.none.fl_str_mv Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
title Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
spellingShingle Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
Asselot, Rémy
Carbon cycle
Physical oceanography
carbon cycle
physical oceanography
title_short Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
title_full Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
title_fullStr Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
title_full_unstemmed Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
title_sort Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and back-calculations
dc.creator.none.fl_str_mv Asselot, Rémy
Carracedo, L.
Thierry, V.
Mercier, Herlé
Bajon, Raphaël
Pérez, Fiz F.
author Asselot, Rémy
author_facet Asselot, Rémy
Carracedo, L.
Thierry, V.
Mercier, Herlé
Bajon, Raphaël
Pérez, Fiz F.
author_role author
author2 Carracedo, L.
Thierry, V.
Mercier, Herlé
Bajon, Raphaël
Pérez, Fiz F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv European Commission
Institut Français de Recherche pour l'Exploitation de la Mer
Centre National de la Recherche Scientifique (France)
Ministerio de Ciencia e Innovación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Carbon cycle
Physical oceanography
carbon cycle
physical oceanography
topic Carbon cycle
Physical oceanography
carbon cycle
physical oceanography
description 12 pages, 5 figures.-- This article is licensed under a Creative Commons Attribution 4.0 International License
publishDate 2024
dc.date.none.fl_str_mv 2024
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/348258
url http://hdl.handle.net/10261/348258
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/862626
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104279GB-C21
The underlying dataset has been published as supplementary material of the article in the publishers platform at DOI https://doi.org/10.1038/s41467-024-46074-5
Asselot, Rémy; Carracedo, L.; Thierry, V.; Mercier, Herlé; Bajon, Raphaël; Pérez, Fiz F.; 2024; Anthropogenic carbon pathways towards the North Atlantic interior revealed by Argo-O2, neural networks and backcalculations [Dataset]; Nature Publishing Group; https://doi.org/10.1038/s41467-024-46074-5. http://hdl.handle.net/10261/383918
https://doi.org/10.1038/s41467-024-46074-5
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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