Articles | Volume 22, issue 1
https://doi.org/10.5194/acp-22-395-2022
© Author(s) 2022. 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-22-395-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric observations
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong
Province, China
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Guangdong Provincial Observation and Research Station for Climate
Environment and Air Quality Change in the Pearl River Estuary, Zhuhai, Guangdong Province, China
Daniel J. Jacob
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Haolin Wang
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong
Province, China
Joannes D. Maasakkers
SRON Netherlands Institute for Space Research, Utrecht, the Netherlands
Yuzhong Zhang
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
School of Engineering, Westlake University, Hangzhou, Zhejiang Province,
China
Institute of Advanced Technology, Westlake Institute for Advanced Study,
Hangzhou, Zhejiang Province, China
Tia R. Scarpelli
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Lu Shen
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Melissa P. Sulprizio
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
Hannah Nesser
Harvard John A. Paulson School of Engineering and Applied Sciences,
Harvard University, Cambridge, MA, USA
A. Anthony Bloom
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
Shuang Ma
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
John R. Worden
Jet Propulsion Laboratory, California Institute of Technology, Pasadena,
CA, USA
Shaojia Fan
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong
Province, China
Robert J. Parker
National Centre for Earth Observation, University of Leicester, Leicester,
UK
Earth Observation Science, Department of Physics and Astronomy, University
of Leicester, Leicester, UK
Hartmut Boesch
National Centre for Earth Observation, University of Leicester, Leicester,
UK
Earth Observation Science, Department of Physics and Astronomy, University
of Leicester, Leicester, UK
Ritesh Gautam
Environmental Defense Fund, Washington, DC, USA
Deborah Gordon
RMI, New York, NY, USA
Watson Institute for International and Public Affairs, Brown University,
Providence, RI, USA
Michael D. Moran
Environment and Climate Change Canada, Toronto, ON, Canada
Frances Reuland
RMI, Boulder, CO, USA
Claudia A. Octaviano Villasana
Instituto Nacional de Ecología y Cambio Climático (INECC),
Mexico City, Mexico
Arlyn Andrews
National Oceanic and Atmospheric Administration, Earth System Research
Laboratory, Boulder, CO, USA
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- Continuous weekly monitoring of methane emissions from the Permian Basin by inversion of TROPOMI satellite observations D. Varon et al. 10.5194/acp-23-7503-2023
- Use of Assimilation Analysis in 4D-Var Source Inversion: Observing System Simulation Experiments (OSSEs) with GOSAT Methane and Hemispheric CMAQ S. Voshtani et al. 10.3390/atmos14040758
- A Gridded Inventory of Annual 2012–2018 U.S. Anthropogenic Methane Emissions J. Maasakkers et al. 10.1021/acs.est.3c05138
- Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations D. Varon et al. 10.5194/gmd-15-5787-2022
- A socially inclusive economic transition for Mexico: Identifying the opportunities and benefits of enhanced climate action A. Flores et al. 10.46830/wriwp.22.00071
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
- 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
- Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. 10.1088/1748-9326/ac8754
- Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action Z. Chen et al. 10.5194/acp-23-5945-2023
- Inter‐Annual Variability in Atmospheric Transport Complicates Estimation of US Methane Emissions Trends L. Feng et al. 10.1029/2022GL100366
- Methane emissions from landfills differentially underestimated worldwide Y. Wang et al. 10.1038/s41893-024-01307-9
- U.S. Ethane Emissions and Trends Estimated from Atmospheric Observations M. Zhang et al. 10.1021/acs.est.4c00380
- Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al. 10.1016/j.atmosenv.2024.120675
- CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes A. Tsuruta et al. 10.3390/rs15061620
- High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al. 10.5194/acp-24-5069-2024
- Estimation of Surface Methane Concentration based on the Ensemble Kalman Filter Algorithm using a Transport Chemical Model M. Platonova et al. 10.25205/1818-7900-2024-22-1-62-72
- Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics X. Lu et al. 10.1073/pnas.2217900120
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
- Saskatchewan’s oil and gas methane: how have underestimated emissions in Canada impacted progress toward 2025 climate goals? S. Seymour et al. 10.1088/1748-9326/ace271
- Strategies for Enhancing Solid Waste Management Practices in Urban Secondary Schools in Developing Countries P. Nnonyelu & N. Dongjie 10.59324/ejtas.2024.2(4).66
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
- Unintended mitigation benefits of China's coal de-capacity policies on methane emissions J. Guo et al. 10.1016/j.enpol.2023.113718
- Sources and reliability of reported methane reductions from the oil and gas industry in Alberta, Canada S. Seymour et al. 10.1525/elementa.2022.00073
- Country-level methane emissions and their sectoral trends during 2009–2020 estimated by high-resolution inversion of GOSAT and surface observations R. Janardanan et al. 10.1088/1748-9326/ad2436
- Observed changes in China’s methane emissions linked to policy drivers Y. Zhang et al. 10.1073/pnas.2202742119
- Reconciling a national methane emission inventory with in-situ measurements Y. Liu et al. 10.1016/j.scitotenv.2023.165896
- Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins L. Shen et al. 10.5194/acp-22-11203-2022
- A survey of methane point source emissions from coal mines in Shanxi province of China using AHSI on board Gaofen-5B Z. He et al. 10.5194/amt-17-2937-2024
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
Latest update: 14 Nov 2024
Short summary
We evaluate methane emissions and trends for 2010–2017 in the gridded national emission inventories for the United States, Canada, and Mexico by inversion of in situ and satellite methane observations. We find that anthropogenic methane emissions for all three countries are underestimated in the national inventories, largely driven by oil emissions. Anthropogenic methane emissions in the US peak in 2014, in contrast to the report of a steadily decreasing trend over 2010–2017 from the US EPA.
We evaluate methane emissions and trends for 2010–2017 in the gridded national emission...
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