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
Description
Summary: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.

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