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Global ocean methane emissions dominated by shallow coastal waters.


ABSTRACT: Oceanic emissions represent a highly uncertain term in the natural atmospheric methane (CH4) budget, due to the sparse sampling of dissolved CH4 in the marine environment. Here we overcome this limitation by training machine-learning models to map the surface distribution of methane disequilibrium (∆CH4). Our approach yields a global diffusive CH4 flux of 2-6TgCH4yr-1 from the ocean to the atmosphere, after propagating uncertainties in ∆CH4 and gas transfer velocity. Combined with constraints on bubble-driven ebullitive fluxes, we place total oceanic CH4 emissions between 6-12TgCH4yr-1, narrowing the range adopted by recent atmospheric budgets (5-25TgCH4yr-1) by a factor of three. The global flux is dominated by shallow near-shore environments, where CH4 released from the seafloor can escape to the atmosphere before oxidation. In the open ocean, our models reveal a significant relationship between ∆CH4 and primary production that is consistent with hypothesized pathways of in situ methane production during organic matter cycling.

SUBMITTER: Weber T 

PROVIDER: S-EPMC6783430 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Global ocean methane emissions dominated by shallow coastal waters.

Weber Thomas T   Wiseman Nicola A NA   Kock Annette A  

Nature communications 20191008 1


Oceanic emissions represent a highly uncertain term in the natural atmospheric methane (CH<sub>4</sub>) budget, due to the sparse sampling of dissolved CH<sub>4</sub> in the marine environment. Here we overcome this limitation by training machine-learning models to map the surface distribution of methane disequilibrium (∆CH<sub>4</sub>). Our approach yields a global diffusive CH<sub>4</sub> flux of 2-6TgCH<sub>4</sub>yr<sup>-1</sup> from the ocean to the atmosphere, after propagating uncertainti  ...[more]

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