A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage

Dissolved carbon concentrations in the ocean interior are computed by a deep-learning model using ocean surface data. In the Southern Ocean, they decreased in the 1990s-2000s and increased since 2010, reducing anthropogenic carbon uptake potential.

Bibliographic Details
Published in:Nature Communications
Main Authors: Varvara E. Zemskova, Tai-Long He, Zirui Wan, Nicolas Grisouard
Format: Article in Journal/Newspaper
Language:English
Published: Nature Portfolio 2022
Subjects:
Science
Q
Southern Ocean
Online Access:https://doi.org/10.1038/s41467-022-31560-5
https://doaj.org/article/84db0987ad5e4517a023ff711867bc0d
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spelling ftdoajarticles:oai:doaj.org/article:84db0987ad5e4517a023ff711867bc0d 2023-05-15T18:23:47+02:00 A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage Varvara E. Zemskova Tai-Long He Zirui Wan Nicolas Grisouard 2022-07-01T00:00:00Z https://doi.org/10.1038/s41467-022-31560-5 https://doaj.org/article/84db0987ad5e4517a023ff711867bc0d EN eng Nature Portfolio https://doi.org/10.1038/s41467-022-31560-5 https://doaj.org/toc/2041-1723 doi:10.1038/s41467-022-31560-5 2041-1723 https://doaj.org/article/84db0987ad5e4517a023ff711867bc0d Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022) Science Q article 2022 ftdoajarticles https://doi.org/10.1038/s41467-022-31560-5 2022-12-30T22:24:51Z Dissolved carbon concentrations in the ocean interior are computed by a deep-learning model using ocean surface data. In the Southern Ocean, they decreased in the 1990s-2000s and increased since 2010, reducing anthropogenic carbon uptake potential. Article in Journal/Newspaper Southern Ocean Directory of Open Access Journals: DOAJ Articles Southern Ocean Nature Communications 13 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Science
Q
spellingShingle Science
Q
Varvara E. Zemskova
Tai-Long He
Zirui Wan
Nicolas Grisouard
A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
topic_facet Science
Q
description Dissolved carbon concentrations in the ocean interior are computed by a deep-learning model using ocean surface data. In the Southern Ocean, they decreased in the 1990s-2000s and increased since 2010, reducing anthropogenic carbon uptake potential.
format Article in Journal/Newspaper
author Varvara E. Zemskova
Tai-Long He
Zirui Wan
Nicolas Grisouard
author_facet Varvara E. Zemskova
Tai-Long He
Zirui Wan
Nicolas Grisouard
author_sort Varvara E. Zemskova
title A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
title_short A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
title_full A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
title_fullStr A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
title_full_unstemmed A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage
title_sort deep-learning estimate of the decadal trends in the southern ocean carbon storage
publisher Nature Portfolio
publishDate 2022
url https://doi.org/10.1038/s41467-022-31560-5
https://doaj.org/article/84db0987ad5e4517a023ff711867bc0d
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_source Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
op_relation https://doi.org/10.1038/s41467-022-31560-5
https://doaj.org/toc/2041-1723
doi:10.1038/s41467-022-31560-5
2041-1723
https://doaj.org/article/84db0987ad5e4517a023ff711867bc0d
op_doi https://doi.org/10.1038/s41467-022-31560-5
container_title Nature Communications
container_volume 13
container_issue 1
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