Articles | Volume 22, issue 9
https://doi.org/10.5194/acp-22-5961-2022
© 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-22-5961-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 May 2022
Research article |
| 06 May 2022
| 06 May 2022
Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion
Joe McNorton
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Nicolas Bousserez
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Anna Agustí-Panareda
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Luca Cantarello
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Richard Engelen
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Vincent Huijnen
Royal Netherlands Meteorological Institute (KNMI), De Bilt, 3731,
the Netherlands
Antje Inness
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Zak Kipling
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Mark Parrington
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
Roberto Ribas
European Centre for Medium-Range Weather Forecasts, Reading, RG2 9AX, UK
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Cited
22 citations as recorded by crossref.
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
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- Anthropic-Induced Variability of Greenhouse Gasses and Aerosols at the WMO/GAW Coastal Site of Lamezia Terme (Calabria, Southern Italy): Towards a New Method to Assess the Weekly Distribution of Gathered Data F. D’Amico et al. 10.3390/su16188175
- An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
- 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
- East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Methodology for selecting near-surface CH4, CO, and CO2 observations reflecting atmospheric background conditions at the WMO/GAW station in Lamezia Terme, Italy L. Malacaria et al. 10.1016/j.apr.2025.102515
- Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic M. Guevara et al. 10.5194/acp-23-8081-2023
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. 10.5194/acp-24-577-2024
- Methane Emissions in the ESG Framework at the World Level A. Costantiello et al. 10.3390/methane4010003
- Multi-Scale Temporal Integration for Enhanced Greenhouse Gas Forecasting: Advancing Climate Sustainability H. Wang et al. 10.3390/su17083436
- Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 A. Agustí-Panareda et al. 10.5194/acp-23-3829-2023
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al. 10.1080/15481603.2025.2488595
- Significant impact of the covid-19 pandemic on methane emissions evaluated by comprehensive statistical analysis of satellite data B. Trisna et al. 10.1038/s41598-024-72843-9
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
- The methane imperative D. Shindell et al. 10.3389/fsci.2024.1349770
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- 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
- 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
- Integrated Analysis of Methane Cycles and Trends at the WMO/GAW Station of Lamezia Terme (Calabria, Southern Italy) F. D’Amico et al. 10.3390/atmos15080946
22 citations as recorded by crossref.
- Methane emissions are predominantly responsible for record-breaking atmospheric methane growth rates in 2020 and 2021 L. Feng et al. 10.5194/acp-23-4863-2023
- Trends in CO, CO2, CH4, BC, and NOx during the First 2020 COVID-19 Lockdown: Source Insights from the WMO/GAW Station of Lamezia Terme (Calabria, Southern Italy) F. D’Amico et al. 10.3390/su16188229
- Anthropic-Induced Variability of Greenhouse Gasses and Aerosols at the WMO/GAW Coastal Site of Lamezia Terme (Calabria, Southern Italy): Towards a New Method to Assess the Weekly Distribution of Gathered Data F. D’Amico et al. 10.3390/su16188175
- An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
- 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
- East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis R. Liang et al. 10.5194/acp-23-8039-2023
- Trends in atmospheric methane concentrations since 1990 were driven and modified by anthropogenic emissions R. Skeie et al. 10.1038/s43247-023-00969-1
- Methodology for selecting near-surface CH4, CO, and CO2 observations reflecting atmospheric background conditions at the WMO/GAW station in Lamezia Terme, Italy L. Malacaria et al. 10.1016/j.apr.2025.102515
- Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic M. Guevara et al. 10.5194/acp-23-8081-2023
- Zonal variability of methane trends derived from satellite data J. Hachmeister et al. 10.5194/acp-24-577-2024
- Methane Emissions in the ESG Framework at the World Level A. Costantiello et al. 10.3390/methane4010003
- Multi-Scale Temporal Integration for Enhanced Greenhouse Gas Forecasting: Advancing Climate Sustainability H. Wang et al. 10.3390/su17083436
- Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 A. Agustí-Panareda et al. 10.5194/acp-23-3829-2023
- Methane emissions from Australia estimated by inverse analysis using in-situ and Satellite (GOSAT) atmospheric observations F. Wang et al. 10.1080/15481603.2025.2488595
- Significant impact of the covid-19 pandemic on methane emissions evaluated by comprehensive statistical analysis of satellite data B. Trisna et al. 10.1038/s41598-024-72843-9
- Anomalies of O3, CO, C2H2, H2CO, and C2H6 detected with multiple ground-based Fourier-transform infrared spectrometers and assessed with model simulation in 2020: COVID-19 lockdowns versus natural variability I. Ortega et al. 10.1525/elementa.2023.00015
- The methane imperative D. Shindell et al. 10.3389/fsci.2024.1349770
- Comparison of observation- and inventory-based methane emissions for eight large global emitters A. Petrescu et al. 10.5194/essd-16-4325-2024
- Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system A. Inness et al. 10.5194/acp-22-14355-2022
- 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
- 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
- Integrated Analysis of Methane Cycles and Trends at the WMO/GAW Station of Lamezia Terme (Calabria, Southern Italy) F. D’Amico et al. 10.3390/atmos15080946
Latest update: 29 May 2025
Short summary
Concentrations of atmospheric methane continue to grow, in recent years at an increasing rate, for unknown reasons. Using newly available satellite observations and a state-of-the-art weather prediction model we perform global estimates of emissions from hotspots at high resolution. Results show that the system can accurately report on biases in national inventories and is used to conclude that the early COVID-19 slowdown period (March–June 2020) had little impact on global methane emissions.
Concentrations of atmospheric methane continue to grow, in recent years at an increasing rate,...
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