Articles | Volume 21, issue 23
https://doi.org/10.5194/acp-21-17345-2021
© Author(s) 2021. 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-21-17345-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2021
Research article |
| 01 Dec 2021
| 01 Dec 2021
Quantification of CH4 coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO2 and Methane (CoMet) campaign
Sven Krautwurst
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Konstantin Gerilowski
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Jakob Borchardt
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Norman Wildmann
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Michał Gałkowski
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland
Justyna Swolkień
Faculty of Mining and Geoengineering, AGH University of Science and Technology, Krakow, Poland
Julia Marshall
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
Anke Roiger
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Thomas Ruhtz
Institute for Space Sciences, Free University of Berlin, Berlin, Germany
Christoph Gerbig
Department Biogeochemical Signals, Max Planck Institute for Biogeochemistry, Jena, Germany
Jaroslaw Necki
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Krakow, Poland
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
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Cited
16 citations as recorded by crossref.
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- 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
- Source apportionment of methane emissions from the Upper Silesian Coal Basin using isotopic signatures A. Fiehn et al. 10.5194/acp-23-15749-2023
- Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al. 10.5194/acp-22-16031-2022
- Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network A. Luther et al. 10.5194/acp-22-5859-2022
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. 10.5194/amt-15-5841-2022
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al. 10.1021/acs.est.2c02136
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al. 10.1088/1748-9326/acc346
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. 10.1016/j.aeaoa.2021.100135
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
- Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-22-9747-2022
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
- Determination of the emission rates of CO<sub>2</sub> point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
15 citations as recorded by crossref.
- Monitoring greenhouse gases (GHGs) in China: status and perspective Y. Sun et al. 10.5194/amt-15-4819-2022
- 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
- Source apportionment of methane emissions from the Upper Silesian Coal Basin using isotopic signatures A. Fiehn et al. 10.5194/acp-23-15749-2023
- Factors influencing the temporal variability of atmospheric methane emissions from Upper Silesia coal mines: a case study from the CoMet mission J. Swolkień et al. 10.5194/acp-22-16031-2022
- Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network A. Luther et al. 10.5194/acp-22-5859-2022
- Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands B. Erland et al. 10.5194/amt-15-5841-2022
- Recent Advances Toward Transparent Methane Emissions Monitoring: A Review B. Erland et al. 10.1021/acs.est.2c02136
- Spectrometric imaging of sub-hourly methane emission dynamics from coal mine ventilation M. Knapp et al. 10.1088/1748-9326/acc346
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- Quantifying methane emissions from coal mining ventilation shafts using an unmanned aerial vehicle (UAV)-based active AirCore system T. Andersen et al. 10.1016/j.aeaoa.2021.100135
- Evaluation of simulated CO2 power plant plumes from six high-resolution atmospheric transport models D. Brunner et al. 10.5194/acp-23-2699-2023
- Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-22-9747-2022
- Quantifying factory-scale CO2/CH4 emission based on mobile measurements and EMISSION-PARTITION model: cases in China T. Shi et al. 10.1088/1748-9326/acbce7
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- Individual coal mine methane emissions constrained by eddy covariance measurements: low bias and missing sources K. Qin et al. 10.5194/acp-24-3009-2024
1 citations as recorded by crossref.
Latest update: 26 Apr 2024
Short summary
Quantification of anthropogenic CH4 emissions remains challenging, but it is essential for near-term climate mitigation strategies. We use airborne remote sensing observations to assess bottom-up estimates of coal mining emissions from one of Europe's largest CH4 emission hot spots located in Poland. The analysis reveals that emissions from small groups of shafts can be disentangled, but caution is advised when comparing observations to commonly reported annual emissions.
Quantification of anthropogenic CH4 emissions remains challenging, but it is essential for...
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