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Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters

To improve estimates of the long-term response of the marine carbon system to climate change a better understanding of the seasonal and interannual variability is needed. We use high-frequency multi-year data at three locations identified as climate change hotspots: two sites located close to South...

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Autores principales: C. Pardo, Paula, Tilbrook, Bronte, van Ooijen, Erik, Passmore, Abraham, Neill, Craig, Jansen, Peter, Sutton, Adrienne J., Trull, Thomas W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527708/
https://www.ncbi.nlm.nih.gov/pubmed/31110210
http://dx.doi.org/10.1038/s41598-019-44109-2
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author C. Pardo, Paula
Tilbrook, Bronte
van Ooijen, Erik
Passmore, Abraham
Neill, Craig
Jansen, Peter
Sutton, Adrienne J.
Trull, Thomas W.
author_facet C. Pardo, Paula
Tilbrook, Bronte
van Ooijen, Erik
Passmore, Abraham
Neill, Craig
Jansen, Peter
Sutton, Adrienne J.
Trull, Thomas W.
author_sort C. Pardo, Paula
collection PubMed
description To improve estimates of the long-term response of the marine carbon system to climate change a better understanding of the seasonal and interannual variability is needed. We use high-frequency multi-year data at three locations identified as climate change hotspots: two sites located close to South Pacific boundary currents and one in the Subantarctic Zone (SAZ). We investigate and identify the main drivers involved in the seasonal an interannual (2012–2016) variability of the carbon system. The seasonal variability at boundary current sites is temporally different and highly controlled by sea surface temperature. Advection processes also play a significant role on the monthly changes of the carbon system at the western boundary current site. The interannual variability at these sites most likely responds to long-term variability in oceanic circulation ultimately related to climatic indices such as the El Niño Southern Oscillation, the Pacific Decadal Oscillation and the Southern Annular Mode (SAM). In the SAZ, advection and entrainment processes drive most of the seasonality, augmented by the action of biological processes in spring. Given the relevance of advection and entrainment processes at SAZ, the interannual variability is most probably modulated by changes in the regional winds linked to the variability of the SAM.
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spelling pubmed-65277082019-05-30 Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters C. Pardo, Paula Tilbrook, Bronte van Ooijen, Erik Passmore, Abraham Neill, Craig Jansen, Peter Sutton, Adrienne J. Trull, Thomas W. Sci Rep Article To improve estimates of the long-term response of the marine carbon system to climate change a better understanding of the seasonal and interannual variability is needed. We use high-frequency multi-year data at three locations identified as climate change hotspots: two sites located close to South Pacific boundary currents and one in the Subantarctic Zone (SAZ). We investigate and identify the main drivers involved in the seasonal an interannual (2012–2016) variability of the carbon system. The seasonal variability at boundary current sites is temporally different and highly controlled by sea surface temperature. Advection processes also play a significant role on the monthly changes of the carbon system at the western boundary current site. The interannual variability at these sites most likely responds to long-term variability in oceanic circulation ultimately related to climatic indices such as the El Niño Southern Oscillation, the Pacific Decadal Oscillation and the Southern Annular Mode (SAM). In the SAZ, advection and entrainment processes drive most of the seasonality, augmented by the action of biological processes in spring. Given the relevance of advection and entrainment processes at SAZ, the interannual variability is most probably modulated by changes in the regional winds linked to the variability of the SAM. Nature Publishing Group UK 2019-05-20 /pmc/articles/PMC6527708/ /pubmed/31110210 http://dx.doi.org/10.1038/s41598-019-44109-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
C. Pardo, Paula
Tilbrook, Bronte
van Ooijen, Erik
Passmore, Abraham
Neill, Craig
Jansen, Peter
Sutton, Adrienne J.
Trull, Thomas W.
Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title_full Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title_fullStr Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title_full_unstemmed Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title_short Surface ocean carbon dioxide variability in South Pacific boundary currents and Subantarctic waters
title_sort surface ocean carbon dioxide variability in south pacific boundary currents and subantarctic waters
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6527708/
https://www.ncbi.nlm.nih.gov/pubmed/31110210
http://dx.doi.org/10.1038/s41598-019-44109-2
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