Articles | Volume 22, issue 5
https://doi.org/10.5194/acp-22-3235-2022
© 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-22-3235-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Mar 2022
Research article |
| 10 Mar 2022
| 10 Mar 2022
Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations
School of Engineering and Applied Science, Harvard University,
Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
now at: University of Edinburgh, Edinburgh, Scotland
Daniel J. Jacob
School of Engineering and Applied Science, Harvard University,
Cambridge, MA, USA
Shayna Grossman
Department of Earth and Planetary Sciences, Harvard University,
Cambridge, MA, USA
School of Engineering and Applied Science, Harvard University,
Cambridge, MA, USA
School of Atmospheric Science, Sun Yat-sen University, Zhuhai,
Guangdong, China
School of Engineering and Applied Science, Harvard University,
Cambridge, MA, USA
Melissa P. Sulprizio
School of Engineering and Applied Science, Harvard University,
Cambridge, MA, USA
Yuzhong Zhang
Key Laboratory of Coastal Environment and Resources of Zhejiang
Province, School of Engineering, Westlake University, Hangzhou, Zhejiang,
China
Institute of Advanced Technology, Westlake Institute for Advanced
Study, Hangzhou, Zhejiang, China
Frances Reuland
Rocky Mountain Institute, Boulder, CO, USA
Deborah Gordon
Rocky Mountain Institute, Providence, RI, USA
John R. Worden
NASA Jet Propulsion Laboratory, Pasadena, CA, USA
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Cited
35 citations as recorded by crossref.
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
- 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
- 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
- Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. 10.1088/1748-9326/ac8754
- The impact of methane leakage on the role of natural gas in the European energy transition B. Shirizadeh et al. 10.1038/s41467-023-41527-9
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
- A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
- High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China S. Peng et al. 10.1016/j.isci.2023.108375
- Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution M. Omara et al. 10.5194/essd-15-3761-2023
- 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
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
- Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020 N. Chandra et al. 10.1038/s43247-024-01286-x
- Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge Z. Qu et al. 10.1073/pnas.2402730121
- Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. 10.5194/amt-17-5261-2024
- Analyzing methane emissions in five Indian cities using TROPOMI data from sentinel-5 precursor satellite G. Suthar et al. 10.1016/j.uclim.2024.102174
- Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
- 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
- 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
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Assessment of the impact of observations at Nainital (India) and Comilla (Bangladesh) on the CH4 flux inversion D. Belikov et al. 10.1186/s40645-024-00634-x
- Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence P. Forster et al. 10.5194/essd-16-2625-2024
- High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China S. Bai et al. 10.1016/j.scitotenv.2024.175446
- Low Methane Emissions from the Natural Gas Distribution System Indicated by Mobile Measurements in a Chinese Megacity Hangzhou S. Zhao et al. 10.1021/acsestair.4c00068
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
- National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations L. Shen et al. 10.1038/s41467-023-40671-6
- Open-data-based city-scale gridded carbon dioxide emission inventory: supporting urban carbon monitoring in Chengdu, China R. Wang et al. 10.20517/cf.2024.19
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al. 10.1021/acs.est.3c04746
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Space-based observations of tropospheric ethane map emissions from fossil fuel extraction J. Brewer et al. 10.1038/s41467-024-52247-z
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. 10.5572/KOSAE.2024.40.3.361
35 citations as recorded by crossref.
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al. 10.5194/acp-22-10809-2022
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
- 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
- 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
- Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations Z. Qu et al. 10.1088/1748-9326/ac8754
- The impact of methane leakage on the role of natural gas in the European energy transition B. Shirizadeh et al. 10.1038/s41467-023-41527-9
- The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data and a priori inventory estimates J. Worden et al. 10.5194/acp-22-6811-2022
- Verifying Methane Inventories and Trends With Atmospheric Methane Data J. Worden et al. 10.1029/2023AV000871
- A high-resolution satellite-based map of global methane emissions reveals missing wetland, fossil fuel, and monsoon sources X. Yu et al. 10.5194/acp-23-3325-2023
- High-resolution assessment of coal mining methane emissions by satellite in Shanxi, China S. Peng et al. 10.1016/j.isci.2023.108375
- Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution M. Omara et al. 10.5194/essd-15-3761-2023
- 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
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
- Methane emissions decreased in fossil fuel exploitation and sustainably increased in microbial source sectors during 1990–2020 N. Chandra et al. 10.1038/s43247-024-01286-x
- Inverse modeling of 2010–2022 satellite observations shows that inundation of the wet tropics drove the 2020–2022 methane surge Z. Qu et al. 10.1073/pnas.2402730121
- Current potential of CH4 emission estimates using TROPOMI in the Middle East M. Liu et al. 10.5194/amt-17-5261-2024
- Analyzing methane emissions in five Indian cities using TROPOMI data from sentinel-5 precursor satellite G. Suthar et al. 10.1016/j.uclim.2024.102174
- Global observational coverage of onshore oil and gas methane sources with TROPOMI M. Gao et al. 10.1038/s41598-023-41914-8
- 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
- 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
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Assessment of the impact of observations at Nainital (India) and Comilla (Bangladesh) on the CH4 flux inversion D. Belikov et al. 10.1186/s40645-024-00634-x
- Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence P. Forster et al. 10.5194/essd-16-2625-2024
- High-resolution satellite estimates of coal mine methane emissions from local to regional scales in Shanxi, China S. Bai et al. 10.1016/j.scitotenv.2024.175446
- Low Methane Emissions from the Natural Gas Distribution System Indicated by Mobile Measurements in a Chinese Megacity Hangzhou S. Zhao et al. 10.1021/acsestair.4c00068
- Assessing methane emissions from collapsing Venezuelan oil production using TROPOMI B. Nathan et al. 10.5194/acp-24-6845-2024
- Bottom‐Up Evaluation of the Methane Budget in Asia and Its Subregions A. Ito et al. 10.1029/2023GB007723
- National quantifications of methane emissions from fuel exploitation using high resolution inversions of satellite observations L. Shen et al. 10.1038/s41467-023-40671-6
- Open-data-based city-scale gridded carbon dioxide emission inventory: supporting urban carbon monitoring in Chengdu, China R. Wang et al. 10.20517/cf.2024.19
- Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data S. Vanselow et al. 10.5194/acp-24-10441-2024
- Assessing the Relative Importance of Satellite-Detected Methane Superemitters in Quantifying Total Emissions for Oil and Gas Production Areas in Algeria S. Naus et al. 10.1021/acs.est.3c04746
- Assessment of methane emissions from oil, gas and coal sectors across inventories and atmospheric inversions K. Tibrewal et al. 10.1038/s43247-023-01190-w
- Space-based observations of tropospheric ethane map emissions from fossil fuel extraction J. Brewer et al. 10.1038/s41467-024-52247-z
- Attribution of individual methane and carbon dioxide emission sources using EMIT observations from space A. Thorpe et al. 10.1126/sciadv.adh2391
- Retrieving the Vertical Profile of Greenhouse Gas Using Fourier Transform Spectrometer (FTS) - Part II: Methane (CH4) M. Kim et al. 10.5572/KOSAE.2024.40.3.361
Latest update: 13 Dec 2024
Short summary
We present a spatially explicit version of the national inventories of oil, gas, and coal methane emissions as submitted by individual countries to the United Nations Framework Convention on Climate Change (UNFCCC) in 2021. We then use atmospheric modeling to compare our inventory emissions to atmospheric methane observations with the goal of identifying potential under- and overestimates of oil–gas methane emissions in the national inventories.
We present a spatially explicit version of the national inventories of oil, gas, and coal...
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