Decadal trends in the ocean carbon sink

DeVries, Tim, Le Quéré, Corinne, Andrews, Oliver, Berthet, Sarah, Hauck, Judith, Ilyina, Tatiana, Landschützer, Peter, Lenton, Andrew, Lima, Ivan D, Nowicki, Michael, Schwinger, Jörg and Séférian, Roland (2019) Decadal trends in the ocean carbon sink. Proceedings of the National Academy of Sciences of the United States of America, 116 (24). pp. 11646-11651. ISSN 1091-6490

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Abstract

Measurements show large decadal variability in the rate of [Formula: see text] accumulation in the atmosphere that is not driven by [Formula: see text] emissions. The decade of the 1990s experienced enhanced carbon accumulation in the atmosphere relative to emissions, while in the 2000s, the atmospheric growth rate slowed, even though emissions grew rapidly. These variations are driven by natural sources and sinks of [Formula: see text] due to the ocean and the terrestrial biosphere. In this study, we compare three independent methods for estimating oceanic [Formula: see text] uptake and find that the ocean carbon sink could be responsible for up to 40% of the observed decadal variability in atmospheric [Formula: see text] accumulation. Data-based estimates of the ocean carbon sink from [Formula: see text] mapping methods and decadal ocean inverse models generally agree on the magnitude and sign of decadal variability in the ocean [Formula: see text] sink at both global and regional scales. Simulations with ocean biogeochemical models confirm that climate variability drove the observed decadal trends in ocean [Formula: see text] uptake, but also demonstrate that the sensitivity of ocean [Formula: see text] uptake to climate variability may be too weak in models. Furthermore, all estimates point toward coherent decadal variability in the oceanic and terrestrial [Formula: see text] sinks, and this variability is not well-matched by current global vegetation models. Reconciling these differences will help to constrain the sensitivity of oceanic and terrestrial [Formula: see text] uptake to climate variability and lead to improved climate projections and decadal climate predictions.

Item Type: Article
Faculty \ School: Faculty of Science > School of Environmental Sciences
Depositing User: LivePure Connector
Date Deposited: 29 Jul 2019 11:30
Last Modified: 07 Aug 2020 23:47
URI: https://ueaeprints.uea.ac.uk/id/eprint/71825
DOI: 10.1073/pnas.1900371116

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