Articles | Volume 21, issue 21
https://doi.org/10.5194/acp-21-16257-2021
© Author(s) 2021. 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-21-16257-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Nov 2021
Research article |
| 05 Nov 2021
| 05 Nov 2021
Atmospheric observations consistent with reported decline in the UK's methane emissions (2013–2020)
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Alistair J. Manning
Hadley Centre, UK Met Office, Exeter, UK
Grant Allen
Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
Tim Arnold
National Physical Laboratory, Teddington, UK
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Stéphane J.-B. Bauguitte
FAAM Airborne Laboratory, National Centre for Atmospheric Science, Building 146, College Road, Cranfield, UK
Hartmut Boesch
National Centre for Earth Observation (NCEO), University of Leicester, Leicester, UK
Anita L. Ganesan
School of Geographical Sciences, University of Bristol, Bristol, UK
Aoife Grant
School of Chemistry, University of Bristol, Bristol, UK
Carole Helfter
UK Centre for Ecology and Hydrology, Penicuik, UK
Eiko Nemitz
UK Centre for Ecology and Hydrology, Penicuik, UK
Simon J. O'Doherty
School of Chemistry, University of Bristol, Bristol, UK
Paul I. Palmer
School of GeoSciences, University of Edinburgh, Edinburgh, UK
National Centre for Earth Observation (NCEO), University of Edinburgh, Edinburgh, UK
Joseph R. Pitt
Department of Earth and Environmental Sciences, University of Manchester, Manchester, UK
now at: School of Chemistry, University of Bristol, Bristol, UK
Chris Rennick
National Physical Laboratory, Teddington, UK
Daniel Say
School of Chemistry, University of Bristol, Bristol, UK
Kieran M. Stanley
Institute for Atmospheric and Environmental Science, Goethe University Frankfurt, Frankfurt am Main, Germany
Ann R. Stavert
CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
Dickon Young
School of Chemistry, University of Bristol, Bristol, UK
Matt Rigby
School of Chemistry, University of Bristol, Bristol, UK
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Cited
11 citations as recorded by crossref.
- A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
- Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio A. Ramsden et al. 10.5194/acp-22-3911-2022
- High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
- Methane Source Attribution in the UK Using Multi‐Year Records of CH4 and δ13C C. Woolley Maisch et al. 10.1029/2023JD039098
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. 10.5194/acp-25-2181-2025
- Sustained growth of sulfur hexafluoride emissions in China inferred from atmospheric observations M. An et al. 10.1038/s41467-024-46084-3
- Short-term trend and temporal variations in atmospheric methane at an Atlantic coastal site in Southwestern Europe R. Padilla et al. 10.1016/j.atmosenv.2024.120665
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al. 10.5194/amt-18-151-2025
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- Fractionation of Methane Isotopologues during Preparation for Analysis from Ambient Air E. Safi et al. 10.1021/acs.analchem.3c04891
11 citations as recorded by crossref.
- A machine learning emulator for Lagrangian particle dispersion model footprints: a case study using NAME E. Fillola et al. 10.5194/gmd-16-1997-2023
- Quantifying fossil fuel methane emissions using observations of atmospheric ethane and an uncertain emission ratio A. Ramsden et al. 10.5194/acp-22-3911-2022
- High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system P. Bergamaschi et al. 10.5194/acp-22-13243-2022
- Methane Source Attribution in the UK Using Multi‐Year Records of CH4 and δ13C C. Woolley Maisch et al. 10.1029/2023JD039098
- Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions Z. Deng et al. 10.5194/essd-14-1639-2022
- Partitioning anthropogenic and natural methane emissions in Finland during 2000–2021 by combining bottom-up and top-down estimates M. Tenkanen et al. 10.5194/acp-25-2181-2025
- Sustained growth of sulfur hexafluoride emissions in China inferred from atmospheric observations M. An et al. 10.1038/s41467-024-46084-3
- Short-term trend and temporal variations in atmospheric methane at an Atlantic coastal site in Southwestern Europe R. Padilla et al. 10.1016/j.atmosenv.2024.120665
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al. 10.5194/amt-18-151-2025
- Using Atmospheric Inverse Modelling of Methane Budgets with Copernicus Land Water and Wetness Data to Detect Land Use-Related Emissions M. Tenkanen et al. 10.3390/rs16010124
- Fractionation of Methane Isotopologues during Preparation for Analysis from Ambient Air E. Safi et al. 10.1021/acs.analchem.3c04891
Latest update: 18 May 2025
Short summary
We present an evaluation of the UK's methane emissions between 2013 and 2020 using a network of tall tower measurement sites. We find emissions that are consistent in both magnitude and trend with the UK's reported emissions, with a declining trend driven by a decrease in emissions from England. The impact of various components of the modelling set-up on these findings are explored through a number of sensitivity studies.
We present an evaluation of the UK's methane emissions between 2013 and 2020 using a network of...
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