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.
Research article
| 
02 Mar 2023
Research article |
| 02 Mar 2023
| 02 Mar 2023
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
25 citations as recorded by crossref.
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
- The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends C. Rödenbeck et al.
- Evaluation of high-resolution WRF simulation in urban areas — Effect of different physics schemes on simulation performance in the Rhine-Main-Neckar area L. Pilz et al.
- A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al.
- German methane fluxes estimated top-down using ICON–ART – Part 2: Inversion results for 2021 V. Bruch et al.
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al.
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al.
- Simulating out-of-sample atmospheric transport to enable flux inversions N. Dadheech & A. Turner
- Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al.
- Methane (CH4) emission estimates for South Korea using Lagrangian-based inversion modeling (2010–2021) S. Kenea et al.
- CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al.
- Atmosphere-based estimations of CO2 emissions at city and county scales and comparative analysis: a case study in Yangtze River Delta Urban Agglomerations (YRDUA) Z. Cai et al.
- Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al.
- Combined CO2 measurement record indicates Amazon forest carbon uptake is offset by savanna carbon release S. Botía et al.
- Strong relation between atmospheric CO2 growth rate and terrestrial water storage in tropical forests on interannual timescales S. Petch et al.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al.
- Modeling support for an extensive Δ14CO2 flask sample monitoring campaign over Europe to constrain fossil CO2 emissions C. Gómez-Ortiz et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- A view of the European carbon flux landscape through the lens of the ICOS atmospheric observation network I. Storm et al.
- 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.
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al.
- How reliable are process-based 222radon emission maps? Results from an atmospheric 222radon inversion in Europe F. Maier et al.
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al.
- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al.
- Towards improving top–down national CO2 estimation in Europe: potential from expanding the ICOS atmospheric network in Italy Y. Villalobos et al.
25 citations as recorded by crossref.
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
- The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends C. Rödenbeck et al.
- Evaluation of high-resolution WRF simulation in urban areas — Effect of different physics schemes on simulation performance in the Rhine-Main-Neckar area L. Pilz et al.
- A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions C. Gómez-Ortiz et al.
- German methane fluxes estimated top-down using ICON–ART – Part 2: Inversion results for 2021 V. Bruch et al.
- Flow-dependent observation errors for greenhouse gas inversions in an ensemble Kalman smoother M. Steiner et al.
- Direct high-precision radon quantification for interpreting high-frequency greenhouse gas measurements D. Kikaj et al.
- Simulating out-of-sample atmospheric transport to enable flux inversions N. Dadheech & A. Turner
- Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al.
- Methane (CH4) emission estimates for South Korea using Lagrangian-based inversion modeling (2010–2021) S. Kenea et al.
- CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al.
- Atmosphere-based estimations of CO2 emissions at city and county scales and comparative analysis: a case study in Yangtze River Delta Urban Agglomerations (YRDUA) Z. Cai et al.
- Atmospheric anthropogenic CO2 variations observed by tower in-situ measurements and simulated by the STILT model in the Beijing megacity region H. Yang et al.
- Combined CO2 measurement record indicates Amazon forest carbon uptake is offset by savanna carbon release S. Botía et al.
- Strong relation between atmospheric CO2 growth rate and terrestrial water storage in tropical forests on interannual timescales S. Petch et al.
- Assessing the accuracy of meteorological transport model ensemble towards estimating Indian carbon fluxes T. Anna Mathew et al.
- Modeling support for an extensive Δ14CO2 flask sample monitoring campaign over Europe to constrain fossil CO2 emissions C. Gómez-Ortiz et al.
- An inter-comparison of inverse models for estimating European CH4 emissions E. Ioannidis et al.
- A view of the European carbon flux landscape through the lens of the ICOS atmospheric observation network I. Storm et al.
- 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.
- To what extent does the CO2 diurnal cycle impact flux estimates derived from global and regional inversions? S. Munassar et al.
- How reliable are process-based 222radon emission maps? Results from an atmospheric 222radon inversion in Europe F. Maier et al.
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al.
- Potential of 14C-based vs. ΔCO-based ΔffCO2 observations to estimate urban fossil fuel CO2 (ffCO2) emissions F. Maier et al.
- Towards improving top–down national CO2 estimation in Europe: potential from expanding the ICOS atmospheric network in Italy Y. Villalobos et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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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