Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 371

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Global ocean methane emissions dominated by shallow coastal waters

Open access
Weber, Thomas, Wiseman, Nicola A., Kock, Annette·2019·Nature Communications

Abstract

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-019-12541-7

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 53 references

Cited by

See all 371

Metadata

Authors
Weber, T., Wiseman, N. A., & Kock, A.
Venue
Nature Communications
Published
2019-10-08
Volume
10
Issue
1
Pages
4584-4584
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2979890655
Cited by
371
References
53
FWCI
15.85
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Global ocean methane emissions dominated by shallow coastal waters. https://app.cochat.ai/papers/10.1038/s41467-019-12541-7
The paper
Weber, T., Wiseman, N. A., & Kock, A. (2019). Global ocean methane emissions dominated by shallow coastal waters. Nature Communications. https://doi.org/10.1038/s41467-019-12541-7

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.