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
9 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- 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
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al. 10.3390/rs15184518
- 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
9 citations as recorded by crossref.
- 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
- 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
- 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
- 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
- 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
- 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
- Evaluation of Simulated CO2 Point Source Plumes from High-Resolution Atmospheric Transport Model C. Li et al. 10.3390/rs15184518
- 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
Latest update: 13 Dec 2024
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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