Articles | Volume 23, issue 4
https://doi.org/10.5194/acp-23-2699-2023
© 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-23-2699-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Feb 2023
Research article |
| 27 Feb 2023
| 27 Feb 2023
Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Gerrit Kuhlmann
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Stephan Henne
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Erik Koene
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Bastian Kern
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sebastian Wolff
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christiane Voigt
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Institute of Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christoph Kiemle
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Anke Roiger
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Alina Fiehn
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sven Krautwurst
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Heinrich Bovensmann
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Jakob Borchardt
Institute for Environmental Physics, University of Bremen, Bremen, Germany
Michal Galkowski
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Christoph Gerbig
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Julia Marshall
Department of Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Andrzej Klonecki
SPASCIA, Ramonville-Saint-Agne, France
Pascal Prunet
SPASCIA, Ramonville-Saint-Agne, France
Robert Hanfland
Federal Office for Radiation Protection, Oberschleißheim, Germany
Institute of Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany
Margit Pattantyús-Ábrahám
Federal Office for Radiation Protection, Oberschleißheim, Germany
Andrzej Wyszogrodzki
Institute of Meteorology and Water Management, National Research Institute, Warsaw, Poland
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
21 citations as recorded by crossref.
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al. 10.1016/j.jclepro.2025.145945
- Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring Y. Pang et al. 10.5194/amt-18-455-2025
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al. 10.1021/acs.est.5c01100
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. 10.1016/j.rse.2025.114954
- Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2 D. Santaren et al. 10.5194/amt-18-211-2025
- The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al. 10.1186/s40645-025-00684-9
- Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation Y. Li et al. 10.1016/j.scitotenv.2023.169586
- Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar X. Zhang et al. 10.5194/acp-25-6725-2025
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al. 10.5194/acp-24-2511-2024
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- A method for estimating localized CO2 emissions from co-located satellite XCO2 and NO2 images B. Fuentes Andrade et al. 10.5194/amt-17-1145-2024
- Carbon emission modelling in sustainable urban environments: Opportunities and challenges H. Zhu et al. 10.1177/1420326X251313893
- Carbon dioxide plume dispersion simulated at the hectometer scale using DALES: model formulation and observational evaluation A. Karagodin-Doyennel et al. 10.5194/gmd-18-4571-2025
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
- Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. 10.5194/acp-24-8243-2024
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
- Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
- Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al. 10.5194/acp-25-13831-2025
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al. 10.3390/rs15184518
21 citations as recorded by crossref.
- Observing CO2 emissions from global key coal-fired power plants based on Orbiting carbon Observatory-3 satellite and improved Gaussian plume model Z. Zhou et al. 10.1016/j.jclepro.2025.145945
- Separating and quantifying facility-level methane emissions with overlapping plumes for spaceborne methane monitoring Y. Pang et al. 10.5194/amt-18-455-2025
- Quantifying CO2 emissions of power plants with Aerosols and Carbon Dioxide Lidar onboard DQ-1 G. Han et al. 10.1016/j.rse.2024.114368
- Pollution-Carbon Synergy Significantly Enhances the Capability of Tracking Power Plants’ CO2 Emissions from Space D. Fan et al. 10.1021/acs.est.5c01100
- Revisiting the quantification of power plant CO2 emissions in the United States and China from satellite: A comparative study using three top-down approaches C. He et al. 10.1016/j.rse.2024.114192
- First global XCO2 observations from spaceborne lidar: methodology and initial result G. Han et al. 10.1016/j.rse.2025.114954
- Benchmarking data-driven inversion methods for the estimation of local CO2 emissions from synthetic satellite images of XCO2 and NO2 D. Santaren et al. 10.5194/amt-18-211-2025
- The greenhouse gas observation mission with Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW): objectives, conceptual framework and scientific contributions H. Tanimoto et al. 10.1186/s40645-025-00684-9
- Improved estimation of CO2 emissions from thermal power plants based on OCO-2 XCO2 retrieval using inline plume simulation Y. Li et al. 10.1016/j.scitotenv.2023.169586
- Estimation of diurnal emissions of CO2 from thermal power plants using spaceborne integrated path differential absorption (IPDA) lidar X. Zhang et al. 10.5194/acp-25-6725-2025
- The Lagrangian Atmospheric Radionuclide Transport Model (ARTM) – sensitivity studies and evaluation using airborne measurements of power plant emissions R. Hanfland et al. 10.5194/acp-24-2511-2024
- A global catalogue of CO2 emissions and co-emitted species from power plants, including high-resolution vertical and temporal profiles M. Guevara et al. 10.5194/essd-16-337-2024
- A method for estimating localized CO2 emissions from co-located satellite XCO2 and NO2 images B. Fuentes Andrade et al. 10.5194/amt-17-1145-2024
- Carbon emission modelling in sustainable urban environments: Opportunities and challenges H. Zhu et al. 10.1177/1420326X251313893
- Carbon dioxide plume dispersion simulated at the hectometer scale using DALES: model formulation and observational evaluation A. Karagodin-Doyennel et al. 10.5194/gmd-18-4571-2025
- Advancements in satellite-based methane point source monitoring: A systematic review F. Mohammadimanesh et al. 10.1016/j.isprsjprs.2025.03.020
- Evaluating NOx stack plume emissions using a high-resolution atmospheric chemistry model and satellite-derived NO2 columns M. Krol et al. 10.5194/acp-24-8243-2024
- Towards verifying and improving estimations of China's CO2 and CH4 budgets using atmospheric inversions Y. Wang et al. 10.1093/nsr/nwaf090
- Two years of satellite-based carbon dioxide emission quantification at the world's largest coal-fired power plants D. Cusworth et al. 10.5194/acp-23-14577-2023
- Impact of atmospheric turbulence on the accuracy of point source emission estimates using satellite imagery M. Gałkowski et al. 10.5194/acp-25-13831-2025
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al. 10.3390/rs15184518
Latest update: 03 Nov 2025
Short summary
We evaluated six atmospheric transport models for their capability to simulate the CO2 plumes from two of the largest power plants in Europe by comparing the models against aircraft observations collected during the CoMet (Carbon Dioxide and Methane Mission) campaign in 2018. The study analyzed how realistically such plumes can be simulated at different model resolutions and how well the planned European satellite mission CO2M will be able to quantify emissions from power plants.
We evaluated six atmospheric transport models for their capability to simulate the CO2 plumes...
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