Articles | Volume 26, issue 14
https://doi.org/10.5194/acp-26-10629-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-10629-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying national, state, and oil/gas field methane emissions and trends in the US (2019–2024) through high resolution inversion of satellite observations
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
Daniel J. Jacob
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
James D. East
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
International Methane Emissions Observatory (IMEO), United Nations Environment Programme (UNEP), Paris, France
Daniel J. Varon
Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, 02139 MA, USA
Massachusetts Institute of Technology, Institute for Data, Systems, and Society, Cambridge, 02139 MA, USA
Nicholas Balasus
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
Sarah E. Hancock
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
Melissa Sulprizio
School of Engineering and Applied Science, Harvard University, Cambridge, 02134 MA, USA
Kevin W. Bowman
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91011 CA, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 91011 CA, USA
Emily Reidy
ExxonMobil Technology and Engineering Company, Spring, 02138 TX, USA
Benjamin R. K. Runkle
Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, 72701 AR, USA
Model code and software
laestrada/CONUS_project_imi: Publication code, Version 1.0.0 Lucas Estrada et al. https://doi.org/10.5281/zenodo.21383461
geoschem/GCClassic: GCClassic 14.4.1 (Version 14.4.1) The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.12584192
Short summary
We use satellite observations to track US methane emissions from 2019–2024 at national, state, and oil and gas field scales. While total emissions remain stable, oil and gas emissions decline even as production rises, indicating progress in emissions management for the oil and gas sector.
We use satellite observations to track US methane emissions from 2019–2024 at national, state,...
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