Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2)
We use a neural network-based estimate of the sea surface partial pressure of CO2 (pCO(2)) derived from measurements assembled within the Surface Ocean CO2 Atlas to investigate the dominant modes of pCO(2) variability from 1982 through 2015. Our analysis shows that detrended and deseasonalized sea s...
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ftarchimer:oai:archimer.ifremer.fr:78733 2023-05-15T17:34:28+02:00 Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) Landschuetzer, Peter Ilyina, Tatiana Lovenduski, Nicole S. 2019-03 application/pdf https://archimer.ifremer.fr/doc/00675/78733/80972.pdf https://doi.org/10.1029/2018GL081756 https://archimer.ifremer.fr/doc/00675/78733/ eng eng Amer Geophysical Union info:eu-repo/grantAgreement/EC/FP7/641816/EU//CRESCENDO https://archimer.ifremer.fr/doc/00675/78733/80972.pdf doi:10.1029/2018GL081756 https://archimer.ifremer.fr/doc/00675/78733/ info:eu-repo/semantics/openAccess restricted use Geophysical Research Letters (0094-8276) (Amer Geophysical Union), 2019-03 , Vol. 46 , N. 5 , P. 2670-2679 ocean CO2 variability carbon climate observations text Publication info:eu-repo/semantics/article 2019 ftarchimer https://doi.org/10.1029/2018GL081756 2021-09-23T20:36:48Z We use a neural network-based estimate of the sea surface partial pressure of CO2 (pCO(2)) derived from measurements assembled within the Surface Ocean CO2 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 CO2. 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. Plain Language Summary In our study we show that there is a link between the amount of carbon in the surface ocean and natural climate variability. We find that this variability is very different between different oceanic regions, but most of the observed variability is on decadal timescales and longer. Current data products therefore do not extend long enough in time to robustly detect long-term oscillations of the surface ocean carbon content. Article in Journal/Newspaper North Atlantic Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) Pacific Geophysical Research Letters 46 5 2670 2679 |
institution |
Open Polar |
collection |
Archimer (Archive Institutionnelle de l'Ifremer - Institut français de recherche pour l'exploitation de la mer) |
op_collection_id |
ftarchimer |
language |
English |
topic |
ocean CO2 variability carbon climate observations |
spellingShingle |
ocean CO2 variability carbon climate observations Landschuetzer, Peter Ilyina, Tatiana Lovenduski, Nicole S. Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
topic_facet |
ocean CO2 variability carbon climate observations |
description |
We use a neural network-based estimate of the sea surface partial pressure of CO2 (pCO(2)) derived from measurements assembled within the Surface Ocean CO2 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 CO2. 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. Plain Language Summary In our study we show that there is a link between the amount of carbon in the surface ocean and natural climate variability. We find that this variability is very different between different oceanic regions, but most of the observed variability is on decadal timescales and longer. Current data products therefore do not extend long enough in time to robustly detect long-term oscillations of the surface ocean carbon content. |
format |
Article in Journal/Newspaper |
author |
Landschuetzer, Peter Ilyina, Tatiana Lovenduski, Nicole S. |
author_facet |
Landschuetzer, Peter Ilyina, Tatiana Lovenduski, Nicole S. |
author_sort |
Landschuetzer, Peter |
title |
Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
title_short |
Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
title_full |
Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
title_fullStr |
Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
title_full_unstemmed |
Detecting Regional Modes of Variability in Observation-Based Surface Ocean pCO(2) |
title_sort |
detecting regional modes of variability in observation-based surface ocean pco(2) |
publisher |
Amer Geophysical Union |
publishDate |
2019 |
url |
https://archimer.ifremer.fr/doc/00675/78733/80972.pdf https://doi.org/10.1029/2018GL081756 https://archimer.ifremer.fr/doc/00675/78733/ |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Geophysical Research Letters (0094-8276) (Amer Geophysical Union), 2019-03 , Vol. 46 , N. 5 , P. 2670-2679 |
op_relation |
info:eu-repo/grantAgreement/EC/FP7/641816/EU//CRESCENDO https://archimer.ifremer.fr/doc/00675/78733/80972.pdf doi:10.1029/2018GL081756 https://archimer.ifremer.fr/doc/00675/78733/ |
op_rights |
info:eu-repo/semantics/openAccess restricted use |
op_doi |
https://doi.org/10.1029/2018GL081756 |
container_title |
Geophysical Research Letters |
container_volume |
46 |
container_issue |
5 |
container_start_page |
2670 |
op_container_end_page |
2679 |
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1766133317569085440 |