Articles | Volume 24, issue 8
https://doi.org/10.5194/acp-24-5069-2024
© Author(s) 2024. 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-24-5069-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2024
Research article |
| 30 Apr 2024
| 30 Apr 2024
High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills
Hannah Nesser
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
now at: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Joannes D. Maasakkers
SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Alba Lorente
SRON Netherlands Institute for Space Research, Leiden, the Netherlands
Zichong Chen
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China
Lu Shen
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Department of Marine, Earth and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
Melissa P. Sulprizio
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Margaux Winter
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Shuang Ma
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
A. Anthony Bloom
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Robert N. Stavins
Harvard Kennedy School, Harvard University, Cambridge, MA, USA
Cynthia A. Randles
ExxonMobil Technology and Engineering Company, Annandale, NJ, USA
now at: United Nations Environment Program International Methane Emissions Observatory, Paris, France
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- Efficient use of a Lagrangian particle dispersion model for atmospheric inversions using satellite observations of column mixing ratios R. Thompson et al. https://doi.org/10.5194/acp-25-12737-2025
- A Review of City-Scale Methane Flux Inversion Based on Top-Down Methods X. Li et al. https://doi.org/10.3390/rs17183152
- Critical analysis of literature on landfill gas collection efficiency and its application to emissions estimates C. Saul et al. https://doi.org/10.1016/j.wasman.2026.115353
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al. https://doi.org/10.5194/acp-25-15121-2025
- Quantifying Methane–Climate Interactions in Eastern Saudi Arabia Using Geospatial and Machine Learning Modeling M. Rahman et al. https://doi.org/10.1109/JSTARS.2026.3668054
- Top-down benchmark of US methane inventories reveals regional discrepancies in activity-based estimates J. Worden et al. https://doi.org/10.5194/acp-26-8855-2026
- Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations L. Estrada et al. https://doi.org/10.5194/gmd-18-3311-2025
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
We quantify 2019 methane emissions in the contiguous US (CONUS) at a ≈ 25 km × 25 km resolution using satellite methane observations. We find a 13 % upward correction to the 2023 US Environmental Protection Agency (EPA) Greenhouse Gas Emissions Inventory (GHGI) for 2019, with large corrections to individual states, urban areas, and landfills. This may present a challenge for US climate policies and goals, many of which target significant reductions in methane emissions.
We quantify 2019 methane emissions in the contiguous US (CONUS) at a ≈ 25 km × 25 km resolution...
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