Articles | Volume 22, issue 20
https://doi.org/10.5194/acp-22-13243-2022
© 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-22-13243-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Oct 2022
Research article |
| 17 Oct 2022
| 17 Oct 2022
High-resolution inverse modelling of European CH4 emissions using the novel FLEXPART-COSMO TM5 4DVAR inverse modelling system
Peter Bergamaschi
CORRESPONDING AUTHOR
European Commission Joint Research Centre (JRC), Ispra (Va), Italy
retired
Arjo Segers
Netherlands Organisation for Applied Scientific Research (TNO),
Utrecht, the Netherlands
Swiss Federal Laboratories for Materials Science and Technology
(Empa), Dübendorf, Switzerland
Jean-Matthieu Haussaire
Swiss Federal Laboratories for Materials Science and Technology
(Empa), Dübendorf, Switzerland
Stephan Henne
Swiss Federal Laboratories for Materials Science and Technology
(Empa), Dübendorf, Switzerland
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Tim Arnold
National Physical Laboratory, Teddington, UK
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Tobias Biermann
Centre for Environmental and Climate Science (CEC), Lund University, Lund, Sweden
Huilin Chen
Centre for Isotope Research (CIO), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, the Netherlands
Sebastien Conil
Agence nationale pour la gestion des dechets radioactifs (Andra),
DRD/OPE, Bure, France
Marc Delmotte
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Grant Forster
Centre for Ocean and Atmospheric Sciences, School of Environmental Sciences, University of East Anglia, Norwich, UK
Arnoud Frumau
Netherlands Organisation for Applied Scientific Research (TNO),
Petten, the Netherlands
Dagmar Kubistin
Deutscher Wetterdienst, Hohenpeissenberg Meteorological Observatory
(MOHp), Hohenpeissenberg, Germany
Cooperative Institute for Research in Environmental Sciences,
University of Colorado Boulder, Boulder, CO, USA
NOAA Earth System Research Laboratory, Global Monitoring Laboratory,
Boulder, CO, USA
Markus Leuenberger
University of Bern, Physics Institute, Climate and Environmental
Division, and Oeschger Centre for Climate Change Research, Bern, Switzerland
Matthias Lindauer
Deutscher Wetterdienst, Hohenpeissenberg Meteorological Observatory
(MOHp), Hohenpeissenberg, Germany
Morgan Lopez
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Giovanni Manca
European Commission Joint Research Centre (JRC), Ispra (Va), Italy
Jennifer Müller-Williams
Deutscher Wetterdienst, Hohenpeissenberg Meteorological Observatory
(MOHp), Hohenpeissenberg, Germany
Simon O'Doherty
Atmospheric Chemistry Research Group, University of Bristol, Bristol,
UK
Bert Scheeren
Centre for Isotope Research (CIO), Energy and Sustainability Research Institute Groningen (ESRIG), University of Groningen, Groningen, the Netherlands
Martin Steinbacher
Swiss Federal Laboratories for Materials Science and Technology
(Empa), Dübendorf, Switzerland
Pamela Trisolino
National Research Council of Italy, Institute of Atmospheric Sciences
and Climate (CNR-ISAC), Bologna, Italy
Gabriela Vítková
Global Change Research Institute of the Czech Academy of Sciences,
Brno, Czech Republic
Camille Yver Kwok
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL), CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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Cited
12 citations as recorded by crossref.
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. 10.5194/acp-24-12447-2024
- Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. 10.5194/acp-23-14159-2023
- Using in situ measurements of δ13C in methane to investigate methane emissions from the western Canada sedimentary basin S. Ars et al. 10.1016/j.aeaoa.2024.100286
- Influence of wildfire emissions to carbon dioxide (CO2) observed at the Mt. Cimone station (Italy, 2165 m asl): A multi-year investigation P. Cristofanelli et al. 10.1016/j.atmosenv.2024.120577
- FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin 10.3390/math10234522
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Identification of spikes in continuous ground-based in situ time series of CO2, CH4 and CO: an extended experiment within the European ICOS Atmosphere network P. Cristofanelli et al. 10.5194/amt-16-5977-2023
- If Some Critical Regions Achieve Carbon Neutrality, How Will the Global Atmospheric CO2 Concentration Change? J. Li et al. 10.3390/rs16091486
12 citations as recorded by crossref.
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al. 10.5194/acp-24-12447-2024
- Impact of transport model resolution and a priori assumptions on inverse modeling of Swiss F-gas emissions I. Katharopoulos et al. 10.5194/acp-23-14159-2023
- Using in situ measurements of δ13C in methane to investigate methane emissions from the western Canada sedimentary basin S. Ars et al. 10.1016/j.aeaoa.2024.100286
- Influence of wildfire emissions to carbon dioxide (CO2) observed at the Mt. Cimone station (Italy, 2165 m asl): A multi-year investigation P. Cristofanelli et al. 10.1016/j.atmosenv.2024.120577
- FLEXPART version 11: improved accuracy, efficiency, and flexibility L. Bakels et al. 10.5194/gmd-17-7595-2024
- European CH4 inversions with ICON-ART coupled to the CarbonTracker Data Assimilation Shell M. Steiner et al. 10.5194/acp-24-2759-2024
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin 10.3390/math10234522
- Global Atmospheric δ13CH4 and CH4 Trends for 2000–2020 from the Atmospheric Transport Model TM5 Using CH4 from Carbon Tracker Europe–CH4 Inversions V. Mannisenaho et al. 10.3390/atmos14071121
- Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model X. Zhao et al. 10.5194/acp-23-14325-2023
- Identification of spikes in continuous ground-based in situ time series of CO2, CH4 and CO: an extended experiment within the European ICOS Atmosphere network P. Cristofanelli et al. 10.5194/amt-16-5977-2023
- If Some Critical Regions Achieve Carbon Neutrality, How Will the Global Atmospheric CO2 Concentration Change? J. Li et al. 10.3390/rs16091486
Latest update: 23 Nov 2024
Short summary
We present a novel high-resolution inverse modelling system, "FLEXVAR", and its application for the inverse modelling of European CH4 emissions in 2018. The new system combines a high spatial resolution of 7 km x 7 km with a variational data assimilation technique, which allows CH4 emissions to be optimized from individual model grid cells. The high resolution allows the observations to be better reproduced, while the derived emissions show overall good consistency with two existing models.
We present a novel high-resolution inverse modelling system, "FLEXVAR", and its application for...
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