Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2813-2023
© Author(s) 2023. 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-23-2813-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Why do inverse models disagree? A case study with two European CO2 inversions
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
Department of Physics, Faculty of Sciences, Ibb University, Ibb, Yemen
Guillaume Monteil
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Marko Scholze
Department of Physical Geography and Ecosystem Science, Lund
University, Lund, Sweden
Ute Karstens
ICOS Carbon Portal at Lund University, department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Christian Rödenbeck
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
Frank-Thomas Koch
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
Meteorological Observatory Hohenpeissenberg, Deutscher Wetterdienst,
Hohenpeißenberg, Germany
Kai U. Totsche
Institute of Geoscience, Friedrich Schiller University, Jena, Germany
Christoph Gerbig
Department of Biogeochemical Signals, Max Planck Institute for
Biogeochemistry, Jena, Germany
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Cited
9 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
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al. 10.5194/amt-18-151-2025
- A view of the European carbon flux landscape through the lens of the ICOS atmospheric observation network I. Storm et al. 10.5194/acp-23-4993-2023
- 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
- The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends C. Rödenbeck et al. 10.5194/acp-23-15767-2023
- A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al. 10.5194/acp-25-397-2025
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al. 10.5194/acp-25-639-2025
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. 10.5194/acp-24-8183-2024
9 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
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al. 10.5194/amt-18-151-2025
- A view of the European carbon flux landscape through the lens of the ICOS atmospheric observation network I. Storm et al. 10.5194/acp-23-4993-2023
- 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
- The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends C. Rödenbeck et al. 10.5194/acp-23-15767-2023
- A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al. 10.5194/acp-25-397-2025
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al. 10.5194/acp-25-639-2025
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al. 10.5194/acp-24-8183-2024
Latest update: 21 Feb 2025
Short summary
Using different transport models results in large errors in optimized fluxes in the atmospheric inversions. Boundary conditions and inversion system configurations lead to a smaller but non-negligible impact. The findings highlight the importance to validate transport models for further developments but also to properly account for such errors in inverse modelling. This will help narrow the convergence of gas estimates reported in the scientific literature from different inversion frameworks.
Using different transport models results in large errors in optimized fluxes in the atmospheric...
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