Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6457-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-23-6457-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Jun 2023
Research article |
| 13 Jun 2023
| 13 Jun 2023
Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019
Sophie Wittig
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Antoine Berchet
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Isabelle Pison
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Marielle Saunois
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Joël Thanwerdas
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Adrien Martinez
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Jean-Daniel Paris
Laboratoire des Sciences du Climat et de l'Environnement, CEA–CNRS–UVSQ, Gif-sur-Yvette, France
Toshinobu Machida
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Motoki Sasakawa
Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan
Douglas E. J. Worthy
Climate Research Division, Environment and Climate Change Canada, Toronto, Ontario, Canada
Cooperative Institute for Research in Environmental Sciences, University of
Colorado Boulder, Boulder, CO, USA
NOAA Global Monitoring Laboratory, Boulder, CO, USA
Rona L. Thompson
Norsk Institutt for Luftforskning (NILU), Kjeller, Norway
Espen Sollum
Norsk Institutt for Luftforskning (NILU), Kjeller, Norway
Mikhail Arshinov
independent researcher
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Cited
15 citations as recorded by crossref.
- CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al.
- Uncertainty and retrieval sensitivity in TROPOMI-based methane inversions over the North Slope of Alaska R. Ward et al.
- Advancing climate-resilient livestock systems: Next-generation emission mitigation strategies and integrated technological innovations N. Ghavi Hossein-Zadeh
- Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al.
- Evaluating Weather and Chemical Transport Models at High Latitudes using MAGIC2021 Airborne Measurements F. Langot et al.
- New insights in atmospheric methane variability in the Arctic by ship-borne measurements during MOSAiC A. Sellmaier et al.
- Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al.
- Advancing the Arctic Methane Permafrost Challenge (AMPAC) With Future Satellite Missions A. Bartsch et al.
- Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al.
- Surface networks in the Arctic may miss a future methane bomb S. Wittig et al.
- Quantifying Arctic-boreal methane emissions using atmospheric observations and a global inverse model L. Basso et al.
- Comprehensive (Shipborne and Aircraft) Measurements of Atmospheric Concentrations of Methane and Carbon Dioxide in the Arctic in September 2022 N. Pankratova et al.
- Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires A. Brožová et al.
- Increased carbon inputs alter soil microbial genetic potential for biogeochemical cycling in Arctic ecosystems J. Cuartero et al.
- Hydrological seasonality shapes diel methane emission variations in China’s largest floodplain lake X. Wang et al.
15 citations as recorded by crossref.
- CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al.
- Uncertainty and retrieval sensitivity in TROPOMI-based methane inversions over the North Slope of Alaska R. Ward et al.
- Advancing climate-resilient livestock systems: Next-generation emission mitigation strategies and integrated technological innovations N. Ghavi Hossein-Zadeh
- Improving the ensemble square root filter (EnSRF) in the Community Inversion Framework: a case study with ICON-ART 2024.01 J. Thanwerdas et al.
- Evaluating Weather and Chemical Transport Models at High Latitudes using MAGIC2021 Airborne Measurements F. Langot et al.
- New insights in atmospheric methane variability in the Arctic by ship-borne measurements during MOSAiC A. Sellmaier et al.
- Estimation of Canada's methane emissions: inverse modelling analysis using the Environment and Climate Change Canada (ECCC) measurement network M. Ishizawa et al.
- Advancing the Arctic Methane Permafrost Challenge (AMPAC) With Future Satellite Missions A. Bartsch et al.
- Attributing 2019–2024 methane growth using TROPOMI satellite observations M. He et al.
- Surface networks in the Arctic may miss a future methane bomb S. Wittig et al.
- Quantifying Arctic-boreal methane emissions using atmospheric observations and a global inverse model L. Basso et al.
- Comprehensive (Shipborne and Aircraft) Measurements of Atmospheric Concentrations of Methane and Carbon Dioxide in the Arctic in September 2022 N. Pankratova et al.
- Spatial-temporal source term estimation using deep neural network prior and its application to Chernobyl wildfires A. Brožová et al.
- Increased carbon inputs alter soil microbial genetic potential for biogeochemical cycling in Arctic ecosystems J. Cuartero et al.
- Hydrological seasonality shapes diel methane emission variations in China’s largest floodplain lake X. Wang et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Here, an inverse modelling approach is applied to estimate CH4 sources and sinks in the Arctic from 2008 to 2019. We study the magnitude, seasonal patterns and trends from different sources during recent years. We also assess how the current observation network helps to constrain fluxes. We find that constraints are only significant for North America and, to a lesser extent, West Siberia, where the observation network is relatively dense. We find no clear trend over the period of inversion.
Here, an inverse modelling approach is applied to estimate CH4 sources and sinks in the Arctic...
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