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Predicting the variable ocean carbon sink

Strong decadal variations in the oceanic uptake of carbon dioxide (CO(2)) observed over the past three decades challenge our ability to predict the strength of the ocean carbon sink. By assimilating atmospheric and oceanic observational data products into an Earth system model–based decadal predicti...

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Detalles Bibliográficos
Autores principales: Li, H., Ilyina, T., Müller, W. A., Landschützer, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469943/
https://www.ncbi.nlm.nih.gov/pubmed/31001588
http://dx.doi.org/10.1126/sciadv.aav6471
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author Li, H.
Ilyina, T.
Müller, W. A.
Landschützer, P.
author_facet Li, H.
Ilyina, T.
Müller, W. A.
Landschützer, P.
author_sort Li, H.
collection PubMed
description Strong decadal variations in the oceanic uptake of carbon dioxide (CO(2)) observed over the past three decades challenge our ability to predict the strength of the ocean carbon sink. By assimilating atmospheric and oceanic observational data products into an Earth system model–based decadal prediction system, we can reproduce the observed variations of the ocean carbon uptake globally. We find that variations of the ocean CO(2) uptake are predictable up to 2 years in advance globally, albeit there is evidence for a higher predictive skill up to 5 years regionally. We further suggest that while temperature variations largely determine shorter-term (<3 years) predictability, nonthermal drivers are responsible for longer-term (>3 years) predictability, especially at high latitudes.
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spelling pubmed-64699432019-04-18 Predicting the variable ocean carbon sink Li, H. Ilyina, T. Müller, W. A. Landschützer, P. Sci Adv Research Articles Strong decadal variations in the oceanic uptake of carbon dioxide (CO(2)) observed over the past three decades challenge our ability to predict the strength of the ocean carbon sink. By assimilating atmospheric and oceanic observational data products into an Earth system model–based decadal prediction system, we can reproduce the observed variations of the ocean carbon uptake globally. We find that variations of the ocean CO(2) uptake are predictable up to 2 years in advance globally, albeit there is evidence for a higher predictive skill up to 5 years regionally. We further suggest that while temperature variations largely determine shorter-term (<3 years) predictability, nonthermal drivers are responsible for longer-term (>3 years) predictability, especially at high latitudes. American Association for the Advancement of Science 2019-04-17 /pmc/articles/PMC6469943/ /pubmed/31001588 http://dx.doi.org/10.1126/sciadv.aav6471 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Li, H.
Ilyina, T.
Müller, W. A.
Landschützer, P.
Predicting the variable ocean carbon sink
title Predicting the variable ocean carbon sink
title_full Predicting the variable ocean carbon sink
title_fullStr Predicting the variable ocean carbon sink
title_full_unstemmed Predicting the variable ocean carbon sink
title_short Predicting the variable ocean carbon sink
title_sort predicting the variable ocean carbon sink
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469943/
https://www.ncbi.nlm.nih.gov/pubmed/31001588
http://dx.doi.org/10.1126/sciadv.aav6471
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