Detecting regional modes of variability in observation-based surface ocean pCO2
We use a neural network-based estimate of the sea surface partial pressure of CO 2 (pCO 2 ) derived from measurements assembled within the Surface Ocean CO 2 Atlas to investigate the dominant modes of pCO 2 variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea...
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ftpubman:oai:pure.mpg.de:item_3034947 2023-08-27T04:10:53+02:00 Detecting regional modes of variability in observation-based surface ocean pCO2 Landschützer, P. Ilyina, T. Lovenduski, N. 2019-03-16 application/pdf http://hdl.handle.net/21.11116/0000-0003-3900-D http://hdl.handle.net/21.11116/0000-0003-5FC2-8 eng eng info:eu-repo/grantAgreement/EC/H2020/641816 info:eu-repo/semantics/altIdentifier/doi/10.1029/2018GL081756 http://hdl.handle.net/21.11116/0000-0003-3900-D http://hdl.handle.net/21.11116/0000-0003-5FC2-8 info:eu-repo/semantics/openAccess Geophysical Research Letters info:eu-repo/semantics/article 2019 ftpubman https://doi.org/10.1029/2018GL081756 2023-08-02T01:23:14Z We use a neural network-based estimate of the sea surface partial pressure of CO 2 (pCO 2 ) derived from measurements assembled within the Surface Ocean CO 2 Atlas to investigate the dominant modes of pCO 2 variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea surface pCO 2 varies substantially by region and the respective frequencies match those from the major modes of climate variability (Atlantic Multidecadal Oscillation, Pacific Decadal Oscillation, multivariate ENSO index, Southern Annular Mode), suggesting a climate modulated air-sea exchange of CO 2 . We find that most of the regional pCO 2 variability is driven by changes in the ocean circulation and/or changes in biology, whereas the North Atlantic variability is tightly linked to temperature variations in the surface ocean and the resulting changes in solubility. Despite the 34-year time series, our analysis reveals that we can currently only detect one to two periods of slow frequency oscillations, challenging our ability to robustly link pCO 2 variations to climate variability. ©2019. American Geophysical Union. All Rights Reserved. Article in Journal/Newspaper North Atlantic Max Planck Society: MPG.PuRe Pacific Geophysical Research Letters 46 5 2670 2679 |
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Open Polar |
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Max Planck Society: MPG.PuRe |
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ftpubman |
language |
English |
description |
We use a neural network-based estimate of the sea surface partial pressure of CO 2 (pCO 2 ) derived from measurements assembled within the Surface Ocean CO 2 Atlas to investigate the dominant modes of pCO 2 variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea surface pCO 2 varies substantially by region and the respective frequencies match those from the major modes of climate variability (Atlantic Multidecadal Oscillation, Pacific Decadal Oscillation, multivariate ENSO index, Southern Annular Mode), suggesting a climate modulated air-sea exchange of CO 2 . We find that most of the regional pCO 2 variability is driven by changes in the ocean circulation and/or changes in biology, whereas the North Atlantic variability is tightly linked to temperature variations in the surface ocean and the resulting changes in solubility. Despite the 34-year time series, our analysis reveals that we can currently only detect one to two periods of slow frequency oscillations, challenging our ability to robustly link pCO 2 variations to climate variability. ©2019. American Geophysical Union. All Rights Reserved. |
format |
Article in Journal/Newspaper |
author |
Landschützer, P. Ilyina, T. Lovenduski, N. |
spellingShingle |
Landschützer, P. Ilyina, T. Lovenduski, N. Detecting regional modes of variability in observation-based surface ocean pCO2 |
author_facet |
Landschützer, P. Ilyina, T. Lovenduski, N. |
author_sort |
Landschützer, P. |
title |
Detecting regional modes of variability in observation-based surface ocean pCO2 |
title_short |
Detecting regional modes of variability in observation-based surface ocean pCO2 |
title_full |
Detecting regional modes of variability in observation-based surface ocean pCO2 |
title_fullStr |
Detecting regional modes of variability in observation-based surface ocean pCO2 |
title_full_unstemmed |
Detecting regional modes of variability in observation-based surface ocean pCO2 |
title_sort |
detecting regional modes of variability in observation-based surface ocean pco2 |
publishDate |
2019 |
url |
http://hdl.handle.net/21.11116/0000-0003-3900-D http://hdl.handle.net/21.11116/0000-0003-5FC2-8 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Geophysical Research Letters |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/641816 info:eu-repo/semantics/altIdentifier/doi/10.1029/2018GL081756 http://hdl.handle.net/21.11116/0000-0003-3900-D http://hdl.handle.net/21.11116/0000-0003-5FC2-8 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1029/2018GL081756 |
container_title |
Geophysical Research Letters |
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46 |
container_issue |
5 |
container_start_page |
2670 |
op_container_end_page |
2679 |
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1775353257947824128 |