The DOI matches its Crossref record.
Assessment of methane emissions from the U.S. oil and gas supply chain
Open accessAbstract
A leaky endeavor: Considerable amounts of the greenhouse gas methane leak from the U.S. oil and natural gas supply chain. Alvarez et al. reassessed the magnitude of this leakage and found that in 2015, supply chain emissions were ∼60% higher than the U.S. Environmental Protection Agency inventory estimate. They suggest that this discrepancy exists because current inventory methods miss emissions that occur during abnormal operating conditions. These data, and the methodology used to obtain them, could improve and verify international inventories of greenhouse gases and provide a better understanding of mitigation efforts outlined by the Paris Agreement. Science , this issue p. 186
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.
Integrity signals
Registry
Cites
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.
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
No references could be resolved yet.
Research works printed but not linked: 61
- G. Myhre et al . in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press Cambridge UK 2013); www.ipcc.ch/pdf/assessment-report/ar5/wg1/WG1AR5_Chapter08_FINAL.pdf.
- 10.1126/science.1240162 · DOI
- 10.1007/s10584-011-0061-5 · DOI · Paper page
- 10.1073/pnas.1202407109 · DOI · Paper page
- 10.1126/science.1247045 · DOI · Paper page
- 10.1080/10962247.2016.1171263 · DOI
- 10.1021/acssuschemeng.6b00144 · DOI
- 10.1016/j.jclepro.2017.01.101 · doi:10.1016/j.jclepro.2017.01.101
- 10.1073/pnas.1416261112 · DOI · Paper page
- 10.1021/acs.est.6b01198 · DOI
- 10.5194/acp-16-14091-2016 · DOI
- 10.1073/pnas.1522126112 · DOI · Paper page
- 10.1021/acs.est.5b00099 · DOI
- 10.1021/acs.est.5b05503 · DOI · Paper page
- 10.1021/acs.est.7b00571 · DOI
- 10.1021/acs.est.6b04303 · DOI
- 10.1038/ncomms14012 · doi:10.1038/ncomms14012
- 10.1021/acs.est.6b00705 · DOI
- 10.1021/es5052809 · DOI
- 10.1021/acs.est.5b01669 · doi:10.1021/acs.est.5b01669
- 10.1080/10962247.2015.1025925 · DOI
- 10.12952/journal.elementa.000137 · doi:10.12952/journal.elementa.000137
- 10.1021/acs.est.5b02275 · doi:10.1021/acs.est.5b02275
- 10.1029/2002GL015601 · DOI · Paper page
- 10.1021/acs.est.6b03906 · DOI
- 10.1021/acs.est.5b05059 · DOI
- 10.5194/acp-16-14371-2016 · DOI · Paper page
- 10.1021/es503070q · DOI
- 10.1021/es5063055 · DOI
- 10.1021/es5060258 · doi:10.1021/es5060258
- 10.1080/00949655.2010.520163 · DOI · Paper page
- N. M. Razali, Y. B. Wah, Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. J. Statist. Model. Anal. 2, 21–33 (2011).
- 10.1002/2015GL067623 · doi:10.1002/2015gl067623
- 10.1073/pnas.1408315111 · DOI · Paper page
- 10.1021/acs.est.7b01810 · DOI
- 10.1021/acs.est.6b05183 · DOI
- 10.1002/2015JD024631 · DOI
- 10.1021/es505116p · DOI
- 10.1002/2014JD022697 · DOI · Paper page
- 10.1021/acs.est.6b06107 · DOI
- 10.1021/acs.est.6b02878 · DOI · Paper page
- 10.1073/pnas.1304880110 · DOI · Paper page
- 10.1021/es5040156 · doi:10.1021/es5040156
- 10.1021/es504016r · doi:10.1021/es504016r
- 10.1021/acs.est.5b06059 · DOI
- 10.1021/acs.est.6b05531 · doi:10.1021/acs.est.6b05531
- 10.1073/pnas.1605617113 · DOI · Paper page
- 10.1021/acs.est.5b00410 · doi:10.1021/acs.est.5b00410
- 10.1021/es506352j · doi:10.1021/es506352j
- 10.1002/2016GL071930 · DOI · Paper page
- 10.5194/acp-17-13941-2017 · DOI
- 10.1002/2017JD027480 · DOI
- 10.1002/grl.50811 · DOI · Paper page
- 10.1002/2013JD021272 · DOI · Paper page
- 10.1021/acs.est.5b00217 · DOI · Paper page
- 10.1021/acs.est.5b00219 · DOI
- 10.1016/0012-8252(94)90026-4 · DOI · Paper page
- 10.1002/2016GL071438 · DOI
- 10.1021/acs.est.7b00814 · doi:10.1021/acs.est.7b00814
- 10.1525/elementa.182 · doi:10.1525/elementa.182
- 10.1016/j.envpol.2016.01.094 · doi:10.1016/j.envpol.2016.01.094
Cited by
The Global Methane Budget 2000–2017
Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., et al. (2019) · doi:10.5194/essd-2019-128 · Cited by 2,760
The Global Methane Budget 2000–2017
Saunois, M., Stavert, A. R., Poulter, B., Bousquet, P., Canadell, J. G., Jackson, R. B., Raymond, P. A., Dlugokencky, E. J., Houweling, S., Patra, P. K., et al. (2020) · Earth System Science Data · doi:10.5194/essd-12-1561-2020 · Cited by 2,711
Nisbet, E. G., Manning, M. R., Dlugokencky, E. J., Fisher, R. E., Lowry, D., Michel, S. E., Myhre, C. L., Platt, S. M., Allen, G., Bousquet, P., et al. (2019) · Global Biogeochemical Cycles · doi:10.1029/2018gb006009 · Cited by 735
Interpreting contemporary trends in atmospheric methane
Turner, A. J., Frankenberg, C., & Kort, E. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814297116 · Cited by 426
Self-citationGrowing environmental footprint of plastics driven by coal combustion
Cabernard, L., Pfister, S., Oberschelp, C., & Hellweg, S. (2021) · Nature Sustainability · doi:10.1038/s41893-021-00807-2 · Cited by 458
Metadata
- Authors
- Alvarez, R. A., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. R., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., Karion, A., Kort, E. A., Lamb, B. K., Lauvaux, T., Maasakkers, J. D., Marchese, A. J., Omara, M., Pacala, S. W., Peischl, J., Robinson, A. L., Shepson, P. B., Sweeney, C., Townsend-Small, A., Wofsy, S. C., & Hamburg, S. P.
- Venue
- Science
- Published
- 2018-07-13
- Volume
- 361
- Issue
- 6398
- Pages
- 186-188
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2808857148
- Cited by
- 1,187
- References
- 0
- FWCI
- 66.64
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- U.S. Department of Energy (DE-FOA-0000894)
- National Aeronautics and Space Administration
- National Oceanic and Atmospheric Administration (NA14OAR0110139, NA14OAR4310135)
- Alfred P. Sloan Foundation
- National Energy Technology Laboratory
- Fiona and Stan Druckenmiller
- Bill and Susan Oberndorf
- Betsy and Sam Reeves
- TomKat Charitable Trust
- Walton Family Foundation
- Robertson Foundation
- Heising-Simons Foundation
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: Assessment of methane emissions from the U.S. oil and gas supply chain. https://app.cochat.ai/papers/10.1126/science.aar7204
- The paper
- Alvarez, R. A., Zavala-Araiza, D., Lyon, D. R., Allen, D. T., Barkley, Z. R., Brandt, A. R., Davis, K. J., Herndon, S. C., Jacob, D. J., Karion, A., Kort, E. A., Lamb, B. K., Lauvaux, T., Maasakkers, J. D., Marchese, A. J., Omara, M., Pacala, S. W., Peischl, J., Robinson, A. L., . . . Hamburg, S. P. (2018). Assessment of methane emissions from the U.S. oil and gas supply chain. Science. https://doi.org/10.1126/science.aar7204
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.