Cited by 2,711Atmospheric and Environmental Gas DynamicsAtmospheric chemistry and aerosolsMethane Hydrates and Related Phenomena

The Global Methane Budget 2000–2017

Open access
Saunois, Marielle, Stavert, Ann R., Poulter, Ben, Bousquet, Philippe, Canadell, Josep G., Jackson, Robert B., Raymond, Peter A., Dlugokencky, Edward J. +83 more·2020·Earth System Science Data

Published version of a preprint

Abstract

Abstract. Understanding and quantifying the global methane (CH4) budget is important for assessing realistic pathways to mitigate climate change. Atmospheric emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-influenced greenhouse gas in terms of climate forcing, after carbon dioxide (CO2). Assessing the relative importance of CH4 in comparison to CO2 is complicated by its shorter atmospheric lifetime, stronger warming potential, and atmospheric growth rate variations over the past decade, the causes of which are still debated. Two major difficulties in reducing uncertainties arise from the variety of geographically overlapping CH4 sources and from the destruction of CH4 by short-lived hydroxyl radicals (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate new research aimed at improving and regularly updating the global methane budget. Following Saunois et al. (2016), we present here the second version of the living review paper dedicated to the decadal methane budget, integrating results of top-down studies (atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up estimates (including process-based models for estimating land surface emissions and atmospheric chemistry, inventories of anthropogenic emissions, and data-driven extrapolations). For the 2008–2017 decade, global methane emissions are estimated by atmospheric inversions (top-down approach) to be 572 Tg CH4 yr−1 (range 538–593, corresponding to the minimum and maximum estimates of the ensemble), of which 357 Tg CH4 yr−1 or ~ 60 % are attributed to anthropogenic sources (range 50–65 %). This total emission is 27 Tg CH4 yr−1 larger than the value estimated for the period 2000–2009 and 24 Tg CH4 yr−1 larger than the one reported in the previous budget for the period 2003–2012 (Saunois et al. 2016). Since 2012, global CH4 emissions have been tracking the carbon intensive scenarios developed by the Intergovernmental Panel on Climate Change (Gidden et al., 2019). Bottom-up methods suggest larger global emissions (737 Tg CH4 yr−1, range 583–880) than top-down inversion methods, mostly because of larger estimated natural emissions from sources such as natural wetlands, other inland water systems, and geological sources. However the strength of the atmospheric constraints on the top-down budget, suggest that these bottom-up emissions are overestimated. The latitudinal distribution of atmospheric-based emissions indicates a predominance of tropical emissions (~ 65 % of the global budget,

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 · 10.5194/essd-12-1561-2020

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

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

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

Cites

Part of this paper’s reference list could not be split into single entries.

Flagged first, then by citations

Research works printed but not linked: 15

  1. [2]2. Nakazawa, T., Machida, T., Tanaka, M., Fujii, Y., Aoki, S., and Watanabe, O.: Differences of the atmospheric CH4 concentration between the Arctic and Antarctic regions in preindustrial/pre-agricultural era, Geophys. Res. Lett., 20, 943-946, https://doi.org/10.1029/93GL00776, 1993. · DOI
  2. [3]3. Natchimuthu, S., Sundgren, I., Gålfalk, M., Klemedtsson, L., Crill, P., Danielsson, Å., and Bastviken, D.: Spatio-temporal variability of lake CH4 fluxes and its influence on annual whole lake emission estimates, Limnol. Oceanogr., 61, S13-S26, https://doi.org/10.1002/lno.10222, 2015. · DOI
  3. [5]5. Ni, X. and Groffman, P. M.: Declines in methane uptake in forest soils, P. Natl. Acad. Sci. USA, 115, 8587-8590, https://doi.org/10.1073/pnas.1807377115, 2018. · DOI
  4. [6]6. Nicely, J. M., Salawitch, R. J., Canty, T., Anderson, D. C., Arnold, S. R., Chipperfield, M. P., Emmons, L. K., Flemming, J., Huijnen, V., Kinnison, D. E., Lamarque, J.-F., Mao, J., Monks, S. A., Steenrod, S. D., Tilmes, S., and Turquety, S.: Quantifying the causes of differences in tropospheric OH within global models, J. Geophys. Res.-Atmos., 122, 1983-2007, https://doi.org/10.1002/2016JD026239, 2017. · DOI
  5. [7]7. Nisbet, E. G., Dlugokencky, E. J., Manning, M. R., Lowry, D., Fisher, R. E., France, J. L., Michel, S. E., Miller, J. B., White, J. W. C., Vaughn, B., Bousquet, P., Pyle, J. A., Warwick, N. J., Cain, M., Brownlow, R., Zazzeri, G., Lanoisellé, M., Manning, A. C., Gloor, E., Worthy, D. E. J., Brunke, E.-G., Labuschagne, C., Wolff, E. W., and Ganesan, A. L.: Rising atmospheric methane: 2007-2014 growth and isotopic shift, Global Biogeochem. Cy., 30, 1356-1370, https://doi.org/10.1002/2016GB005406, 2016. · DOI
  6. [8]8. 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., Brownlow, R., Cain, M., France, J. L., Hermansen, O., Hossaini, R., Jones, A. E., Levin, I., Manning, A. C., Myhre, G., Pyle, J. A., Vaughn, B., Warwick, N. J., and White, J. W. C.: Very strong atmospheric methane growth in the four years 20142017: Implications for the Paris Agreement, Global Biogeochem. Cy., 33, 318-342, https://doi.org/10.1029/2018GB006009, 2019. · DOI · Paper page
  7. [11]11. and adjoint transport models, Geosci. Model Dev., 10, 11571174, https://doi.org/10.5194/gmd-10-1157-2017, 2017a. · DOI
  8. [12]12. Niwa, Y., Fujii, Y., Sawa, Y., Iida, Y ., Ito, A., Satoh, M., Imasu, R., Tsuboi, K., Matsueda, H., and Saigusa, N.: A 4D-Var inversion system based on the icosahedral grid model (NICAM-TM 4DVar v1.0) - Part 2: Optimization scheme and identical twin experiment of atmospheric CO 2 inversion, Geosci. Model Dev., 10, 2201-2219, https://doi.org/10.5194/gmd-10-2201-2017, 2017b. · DOI
  9. [13]13. Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H., Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., Kholodov, A., Khomutov, A., Kääb, A., Leibman, M. O., Lewkowicz, A. G., Panda, S. K., Romanovsky, V., Way, R. G., Westergaard-Nielsen, A., Wu, T., Yamkhin, J., and Zou, D.: Northern Hemisphere permafrost map based on TTOP modelling for 2000-2016 at 1 km 2 scale, Earth-Sci. Rev., 193, 299-316, https://doi.org/10.1016/j.earscirev.2019.04.023, 2019. · DOI
  10. [15]15. Ollivier, Q. R., Maher, D. T., Pitfield, C., and Macreadie, P. I.: Punching above their weight: Large release of greenhouse gases from small agricultural dams, Glob. Change Biol., 25, 721-732, https://doi.org/10.1111/gcb.14477, 2019. · DOI
  11. [17]17. Osudar, R., Matousu, A., Alawi, M., Wagner, D. and Bussmann, I.: Environmental factors affecting methane distribution and bacterial methane oxidation in the German Bight (North Sea), Estuar. Coast. Shelf Sci., 160, 10-21, https://doi.org/10.1016/j.ecss.2015.03.028, 2015. · DOI
  12. [18]18. Pacala, S. W.: Verifying greenhouse gas emissions: Methods to support international climate agreements, National Academies Press, 2010.
  13. [19]19. Pandey, S., Houweling, S., Krol, M., Aben, I., Chevallier, F., Dlugokencky, E. J., Gatti, L. V., Gloor, E., Miller, J. B., Detmers, R., Machida, T., and Röckmann, T.: Inverse modeling of GOSAT-retrieved ratios of total column CH 4 and CO2 for 2009 and 2010, Atmos. Chem. Phys., 16, 5043-5062, https://doi.org/10.5194/acp-16-5043-2016, 2016. · DOI
  14. [20]20. Pandey, S., Gautam, R., Houweling, S., Gon, H. D. van der, Sadavarte, P., Borsdorff, T., Hasekamp, O., Landgraf, J., Tol, P., Kempen, T. van, Hoogeveen, R., Hees, R. van, Hamburg, S. P., Maasakkers, J. D., and Aben, I.: Satellite observations reveal extreme methane leakage from a natural gas well blowout, P. Natl. Acad. Sci., 116, 26376-26381, https://doi.org/10.1073/pnas.1908712116, 2019. · DOI
  15. [21]21. Pangala, S. R., Moore, S., Hornibrook, E. R. C., and Gauci, V.: Trees are major conduits for methane egress from tropical forested wetlands, New Phytol., 197, 524-531, https://doi.org/10.1111/nph.12031, 2013. · DOI

Cited by

Sorted by citations

Authors
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., Ciais, P., Arora, V. K., Bastviken, D., Bergamaschi, P., Blake, D. R., Brailsford, G., Bruhwiler, L., Carlson, K. M., Carrol, M., Castaldi, S., Chandra, N., Crevoisier, C., Crill, P. M., Covey, K., Curry, C. L., Etiope, G., Frankenberg, C., Gedney, N., Hegglin, M. I., Höglund-Isaksson, L., Hugelius, G., Ishizawa, M., Ito, A., Janssens-Maenhout, G., Jensen, K. M., Joos, F., Kleinen, T., Krummel, P. B., Langenfelds, R. L., Laruelle, G. G., Liu, L., Machida, T., Maksyutov, S., McDonald, K. C., McNorton, J., Miller, P. A., Melton, J. R., Morino, I., Müller, J., Murguia-Flores, F., Naik, V., Niwa, Y., Noce, S., O'Doherty, S., Parker, R. J., Peng, C., Peng, S., Peters, G. P., Prigent, C., Prinn, R., Ramonet, M., Regnier, P., Riley, W. J., Rosentreter, J. A., Segers, A., Simpson, I. J., Shi, H., Smith, S. J., Steele, L. P., Thornton, B. F., Tian, H., Tohjima, Y., Tubiello, F. N., Tsuruta, A., Viovy, N., Voulgarakis, A., Weber, T. S., van Weele, M., van der Werf, G. R., Weiss, R. F., Worthy, D., Wunch, D., Yin, Y., Yoshida, Y., Zhang, W., Zhang, Z., Zhao, Y., Zheng, B., Zhu, Q., Zhu, Q., & Zhuang, Q.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • CSIRO Oceans and Atmosphere (AU)
  • Stanford University (US)
  • Yale University (US)
  • National Oceanic and Atmospheric Administration (US)
  • Space Research Organisation Netherlands (NL)
  • Japan Agency for Marine-Earth Science and Technology (JP)
  • Environment and Climate Change Canada (CA)
  • Linköping University (SE)
  • European Commission (BE)
  • University of California, Irvine (US)
  • National Institute of Water and Atmospheric Research (NZ)
  • University of Hawaiʻi at Mānoa (US)
  • Goddard Space Flight Center (US)
  • Peoples' Friendship University of Russia (RU)
  • Stockholm University (SE)
  • Skidmore College (US)
  • University of Victoria (CA)
  • Istituto Nazionale di Geofisica e Vulcanologia (IT)
  • California Institute of Technology (US)
  • Met Office (GB)
  • University of Reading (GB)
  • National Institute for Environmental Studies (JP)
  • City College of New York (US)
  • University of Bern (CH)
  • Max Planck Institute for Meteorology (DE)
  • Université Libre de Bruxelles (BE)
  • Purdue University West Lafayette (US)
  • European Centre for Medium-Range Weather Forecasts (GB)
  • Lund University (SE)
  • University of Bristol (GB)
  • CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT)
  • University of Leicester (GB)
  • Université du Québec à Montréal (CA)
  • Peking University (CN)
  • CICERO Center for International Climate Research (NO)
  • Massachusetts Institute of Technology (US)
  • Lawrence Berkeley National Laboratory (US)
  • Southern Cross University (AU)
  • Netherlands Organisation for Applied Scientific Research (NL)
  • Auburn University (US)
  • Joint Global Change Research Institute (US)
  • Food and Agriculture Organization of the United Nations (IT)
  • Finnish Meteorological Institute (FI)
  • Imperial College London (GB)
  • University of Rochester (US)
  • Scripps Institution of Oceanography (US)
  • University of Toronto (CA)
  • University of Maryland, College Park (US)
Corresponding author
Saunois, Marielle
Venue
Earth System Science Data
Published
2020-07-15
Volume
12
Issue
3
Pages
1561-1623
ISSN
  • 1866-3508 (ISSN-L)
  • 1866-3516
OpenAlex
W2810313091
Cited by
2,711
References
17
Citations by year
2026: 331 · 2025: 441 · 2024: 499 · 2023: 436 · 2022: 494 · 2021: 447 · 2020: 61 · 2016: 2
FWCI
133.86
Type
journal article
Language
en
Open access
Locations
  • Earth system science data (publishedVersion, cc-by)
  • Earth System Science Data Discussions (acceptedVersion, cc-by)
  • DiVA (Linkoping University) (publishedVersion, other-oa)
  • UVic’s Research and Learning Repository (University of Victoria) (publishedVersion, cc-by)
  • NOAA Institutional Repository (publishedVersion)
  • Bristol Research (University of Bristol) (publishedVersion, other-oa)
  • Helmholtz Centre for Ocean Research Kiel (GEOMAR) (acceptedVersion)
  • IIASA PURE (International Institute of Applied Systems Analysis) (acceptedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
  • CentAUR (University of Reading) (submittedVersion, cc-by)
  • Max Planck Digital Library (submittedVersion, other-oa)
  • Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" (submittedVersion, cc-by)
  • TNO Repository (submittedVersion, cc-by)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion, cc-by)
  • HAL (submittedVersion, other-oa)
  • BORIS (University Library Bern) (submittedVersion, cc-by)
  • Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • eScholarship (California Digital Library) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
  • Lund University Publications (Lund University) (submittedVersion)
  • NOAA Institutional Repository (submittedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
  • Joint Research Centre (European Commission) (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • VU Research Portal (submittedVersion, other-oa)
  • Spiral (Imperial College London) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Open Access CRIS of the University of Bern
Funders
  • National Science Foundation (DEAC02-05CH11231, 2143449)
  • U.S. Department of Energy (-AC02-05CH11231, 05CH11231, DE AC02 05CH11231, DE-AC02-)
  • National Aeronautics and Space Administration (NNX16AK04G, NNX17AI74G, DE-AC02-05CH11231, NNX11AF16G, NNX07AE89G, NNX11AF17G, NNX07AE87G, NNX11AF15G, NNX17AK11G, NNX17AK20G, NNX07AF09G, NNX16AC98G)
  • Gordon and Betty Moore Foundation (GBMF5439)
  • University of Minnesota
  • Environmental Restoration and Conservation Agency (JPMEERF21S20800)
  • European Commission (725546, 951288, CAMS73, EU-H2020, HORIZON2020, H2020, DE-AC02-05CH11231, 101015825, 101003536, ESM2025, 776810, 773421)
  • Met Office (101003536)
  • Commonwealth Scientific and Industrial Research Organisation
  • Agence Nationale de la Recherche (ANR-21-CE01-0030, DE-AC02-05CH11231, ANR-16-IDEX-0008)
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (DEAC02-05CH11231, 172476)
  • Swedish National Space Agency (2016-01201, 209/19)
  • Svenska Forskningsrådet Formas (2022-03841, 209/19, 2020-05338, 773421, 2016-01201, 2018-01794, 2018-04516)
  • Bundesministerium für Bildung und Forschung (01LP1921A, 01LP1507B, DE-AC02-05CH11231, EU H2020)
  • Fonds De La Recherche Scientifique - FNRS (T.0191.23)
  • Belgian Federal Science Policy Office
  • Linköpings Universitet
  • Vetenskapsrådet (2020-05338, 2018-04516, 725546, 2018-, 2022-03841)
  • Scheme for Promotion of Academic and Research Collaboration
  • Office of Science (DEAC02–05CH11231, AC02-05CH11231, DE-AC02, 05CH11231)
  • University of California, Irvine
  • Horizon 2020 Framework Programme (101015825, 101015825 TRIAGE, 951288, 776810, ESM2025, 773421, EU‐H2020, 725546, CAMS73, 101003536)
  • Natural Sciences and Engineering Research Council of Canada (DE-AC02-05CH11231, 371706)
  • Natural Environment Research Council (NE/N018079/1, NE/N015657/1, nceo020005, DE-AC02-05CH11231)
  • Australian Research Council (LP150100519)
  • Australian Antarctic Division
  • Biological and Environmental Research (05CH11231, DE-AC02 − 05CH11231, AC02-05CH11231)
  • National Centre for Earth Observation (NE/N015657/1, nceo020005)
  • Lawrence Berkeley National Laboratory (AC02‐05CH11231, DE-AC02-05CH11231, 05CH11231)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Atmospheric chemistry and aerosols
  • Physical Sciences › Environmental Science › Environmental Chemistry › Methane Hydrates and Related Phenomena
Keywords
methane budget, anthropogenic methane sources, wetland methane emissions, bottom-up emission estimation, methane sinks, hydroxyl radicals, methane lifetime, methane growth rate, climate change mitigation, Global Carbon Project

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