Ontology highlight
ABSTRACT:
SUBMITTER: Weber T
PROVIDER: S-EPMC6783430 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
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]