Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-167-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-167-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
07 Jan 2026
Data description article |
| 07 Jan 2026
| 07 Jan 2026
An inter-comparison of inverse models for estimating European CH4 emissions
Eleftherios Ioannidis
CORRESPONDING AUTHOR
Department of Earth Sciences, Vrije Universiteit, Amsterdam, the Netherlands
now at: Research & Development Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Antoon Meesters
Department of Earth Sciences, Vrije Universiteit, Amsterdam, the Netherlands
Michael Steiner
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Dominik Brunner
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Friedemann Reum
Deutsches Zentrum für Luft- und Raumfahrt e.V., Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Isabelle Pison
Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Antoine Berchet
Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Rona Thompson
NILU, Kjeller, Norway
Espen Sollum
NILU, Kjeller, Norway
Frank-Thomas Koch
Meteorological Observatory Hohenpeissenberg, Deutscher Wetterdienst, Hohenpeissenberg, Germany
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Christoph Gerbig
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Fenjuan Wang
National Institute for Environmental Studies, Tsukuba, Japan
Shamil Maksyutov
National Institute for Environmental Studies, Tsukuba, Japan
Aki Tsuruta
Climate System Research,Finnish Meteorological Institute, Helsinki, Finland
Maria Tenkanen
Climate System Research,Finnish Meteorological Institute, Helsinki, Finland
Tuula Aalto
Climate System Research,Finnish Meteorological Institute, Helsinki, Finland
Guillaume Monteil
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
now at: Barcelona Supercomputing Center, Barcelona, Spain
Hong Lin
Division of Thermophysics Metrology, National Institute of Metrology, Beijing, China
Zhengzhou Institute of Metrology, Zhengzhou, China
Ge Ren
Division of Thermophysics Metrology, National Institute of Metrology, Beijing, China
Zhengzhou Institute of Metrology, Zhengzhou, China
Marko Scholze
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Sander Houweling
Department of Earth Sciences, Vrije Universiteit, Amsterdam, the Netherlands
SRON, Netherlands Institute for Space Research, Leiden, the Netherlands
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Cited
2 citations as recorded by crossref.
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Exploring atmospheric CH4 monitoring network expansion in Italy using inverse modelling J. Thanwerdas et al. https://doi.org/10.5194/acp-26-10477-2026
2 citations as recorded by crossref.
- Assessment of the differences in European CH4 emission estimates from three TROPOMI products A. Sicsik-Paré et al. https://doi.org/10.5194/acp-26-10423-2026
- Exploring atmospheric CH4 monitoring network expansion in Italy using inverse modelling J. Thanwerdas et al. https://doi.org/10.5194/acp-26-10477-2026
Saved (final revised paper)
Latest update: 10 Aug 2026
Short summary
This paper describes a detailed study on CH4 European emissions, using different methodologies (9 total inverse models). The study spans over 15 years and provides detailed information on European CH4 emission trends and seasonality, using in-situ data, including Integrated Carbon Observation System (ICOS) network. Our results highlight the importance of improving details in the inversion setup, such as the treatment of lateral boundary conditions to narrow the uncertainty ranges further.
This paper describes a detailed study on CH4 European emissions, using different methodologies...
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