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Incorporating methane isotopologues alters tropical and subtropical methane emission estimates
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  • Open access
  • Published: 04 May 2026

Incorporating methane isotopologues alters tropical and subtropical methane emission estimates

  • Xueying Yu  ORCID: orcid.org/0000-0002-9380-51361,2,
  • Josep G. Canadell  ORCID: orcid.org/0000-0002-8788-32183,
  • Daven K. Henze  ORCID: orcid.org/0000-0001-6431-49634,
  • Prabir K. Patra  ORCID: orcid.org/0000-0001-5700-93895,6,
  • Marielle Saunois7,
  • Xiaoyu Cen  ORCID: orcid.org/0000-0002-4467-99621,8,
  • Xin Lan  ORCID: orcid.org/0000-0001-6327-69509,10,
  • Ben Riddell-Young  ORCID: orcid.org/0000-0001-5937-47269,10,
  • Thomas Röckmann  ORCID: orcid.org/0000-0002-6688-896811 &
  • …
  • Robert B. Jackson  ORCID: orcid.org/0000-0001-8846-71471,12 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Atmospheric chemistry
  • Carbon cycle
  • Climate and Earth system modelling

Abstract

Annual increases in atmospheric methane have reached record highs over the past five years, yet the underlying processes and regional sources remain uncertain. Here we quantify the average 2019-2021 global methane budget using Bayesian 4D-Var inversions that assimilate satellite methane retrievals and in-situ δ13C-CH4 and δD-CH4 measurements. The methane-isotopic inversion yields total emissions of 623 [585–643] Tg/y, slightly higher than the methane-only inversion. Incorporating isotopic constraints leads to a redistribution of emissions in tropical and subtropical regions. Compared with the methane-only inversion, the methane-isotopic inversion indicates that emission estimates increase by 26 [−3–27] Tg/y in East Asia (primarily China), 7 [−1–8] Tg/y in South Asia (primarily India), and 5 [−3–10] Tg/y in central Africa, while decreasing by 5 [−6–7] Tg/y in Amazon Basin and 12 [−14–20] Tg/y elsewhere. This points to a stronger anthropogenic contribution to the post-2019 methane budget, including higher fossil emissions in China and slightly less wetland emissions in the Amazon Basin. The methane-isotopic inversion also alters inferred emission seasonality, showing less seasonality in China compared with the methane-only inversion, weaker coal-mine phase-out signals, and a delayed summer peak in Southeast Asia, pointing to sources missing from current inventories.

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Acknowledgements

We thank Sylvia Englund Michel and Justin Reid Clark for their helpful suggestions. We also thank the US National Oceanic and Atmospheric Administration (NOAA) for providing methane isotopic measurements and the Netherlands Institute for Space Research (SRON) teams for providing TROPOMI methane observations. Our research was supported by the Gordon and Betty Moore Foundation through Grants GBMF5439 ‘Advancing Understanding of the Global Methane Cycle’ and GBMF11519 ‘Advancing the understanding of methane emissions from tropical wetlands’ to Stanford University, and Stanford’s Global Methane Office for the Global Carbon Project. X.Y. and R.B.J. acknowledge additional funding through the framework of UNEP’s International Methane Emissions Observatory (IMEO) (#DTIE21-EN3143) to Stanford University. X.Y. acknowledges funding from an IBM CEAIS Seed Grant to the State University of New York at Albany (award no. 102522). D.K.H. acknowledges support from the United States Environmental Protection Agency (EPA, 84062601) and the US Department of Energy (DOE, DE-FE0032305).

Author information

Authors and Affiliations

  1. Department of Earth System Science, Stanford University, Stanford, CA, USA

    Xueying Yu, Xiaoyu Cen & Robert B. Jackson

  2. Atmospheric Sciences Research Center, The State University of New York at Albany, Albany, NY, USA

    Xueying Yu

  3. CSIRO Environment, Canberra, ACT, Australia

    Josep G. Canadell

  4. Department of Mechanical Engineering, University of Colorado, Boulder, CO, USA

    Daven K. Henze

  5. Research Institute for Humanity and Nature (RIHN), Kyoto, Japan

    Prabir K. Patra

  6. Research Institute for Global Change, JAMSTEC, Japan

    Prabir K. Patra

  7. Laboratoire des Sciences du Climat et de l’Environnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, Gif-sur-Yvette, France

    Marielle Saunois

  8. Pioneer Center Land-CRAFT, Department of Agroecology, Aarhus University, Aarhus, Denmark

    Xiaoyu Cen

  9. Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA

    Xin Lan & Ben Riddell-Young

  10. NOAA Global Monitoring Laboratory, Boulder, CO, USA

    Xin Lan & Ben Riddell-Young

  11. Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands

    Thomas Röckmann

  12. Woods Institute for the Environment and Precourt Institute for Energy, Stanford, CA, USA

    Robert B. Jackson

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  1. Xueying Yu
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Correspondence to Xueying Yu.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Yu, X., Canadell, J.G., Henze, D.K. et al. Incorporating methane isotopologues alters tropical and subtropical methane emission estimates. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72668-2

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  • Received: 15 August 2025

  • Accepted: 09 April 2026

  • Published: 04 May 2026

  • DOI: https://doi.org/10.1038/s41467-026-72668-2

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