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Global ocean methane emissions dominated by shallow coastal waters
Oceanic emissions represent a highly uncertain term in the natural atmospheric methane (CH(4)) budget, due to the sparse sampling of dissolved CH(4) in the marine environment. Here we overcome this limitation by training machine-learning models to map the surface distribution of methane disequilibri...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6783430/ https://www.ncbi.nlm.nih.gov/pubmed/31594924 http://dx.doi.org/10.1038/s41467-019-12541-7 |
Sumario: | Oceanic emissions represent a highly uncertain term in the natural atmospheric methane (CH(4)) budget, due to the sparse sampling of dissolved CH(4) in the marine environment. Here we overcome this limitation by training machine-learning models to map the surface distribution of methane disequilibrium (∆CH(4)). Our approach yields a global diffusive CH(4) flux of 2–6TgCH(4)yr(−1) from the ocean to the atmosphere, after propagating uncertainties in ∆CH(4) and gas transfer velocity. Combined with constraints on bubble-driven ebullitive fluxes, we place total oceanic CH(4) emissions between 6–12TgCH(4)yr(−1), narrowing the range adopted by recent atmospheric budgets (5–25TgCH(4)yr(−1)) by a factor of three. The global flux is dominated by shallow near-shore environments, where CH(4) released from the seafloor can escape to the atmosphere before oxidation. In the open ocean, our models reveal a significant relationship between ∆CH(4) and primary production that is consistent with hypothesized pathways of in situ methane production during organic matter cycling. |
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