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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Cited
8 citations as recorded by crossref.
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Controls on spatial variation in porewater methane concentrations across United States tidal wetlands E. Koontz et al. 10.1016/j.scitotenv.2024.177290
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Investigating Major Sources of Methane Emissions at US Landfills T. Scarpelli et al. 10.1021/acs.est.4c07572
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
- Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach M. Hemati et al. 10.1038/s41598-024-58995-8
- A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al. 10.1021/acs.est.3c05138
6 citations as recorded by crossref.
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Controls on spatial variation in porewater methane concentrations across United States tidal wetlands E. Koontz et al. 10.1016/j.scitotenv.2024.177290
- Constructing a measurement-based spatially explicit inventory of US oil and gas methane emissions (2021) M. Omara et al. 10.5194/essd-16-3973-2024
- Investigating Major Sources of Methane Emissions at US Landfills T. Scarpelli et al. 10.1021/acs.est.4c07572
- Quantifying Methane Emissions Using Satellite Data: Application of the Integrated Methane Inversion (IMI) Model to Assess Danish Emissions A. Vara-Vela et al. 10.3390/rs16234554
2 citations as recorded by crossref.
Latest update: 13 Dec 2024
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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