Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-1925-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1925-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
16 Apr 2020
Model evaluation paper |
| 16 Apr 2020
| 16 Apr 2020
Hindcasting and forecasting of regional methane from coal mine emissions in the Upper Silesian Coal Basin using the online nested global regional chemistry–climate model MECO(n) (MESSy v2.53)
Anna-Leah Nickl
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Mariano Mertens
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Anke Roiger
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Andreas Fix
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Axel Amediek
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Alina Fiehn
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christoph Gerbig
Max Planck Institute for Biogeochemistry, Jena, Germany
Michal Galkowski
Max Planck Institute for Biogeochemistry, Jena, Germany
AGH University of Science and Technology, Krakow, Poland
Astrid Kerkweg
Institute of Geosciences and Meteorology, University of Bonn, Bonn, Germany
now at: Research Center Jülich, Institute of Energy and Climate Research, Jülich, Germany
Theresa Klausner
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Maximilian Eckl
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
13 citations as recorded by crossref.
- Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
- Results of Remote Monitoring of Methane Concentration in the Air of Western Siberia Using the On-board Infrared Lidar Complex S. Yakovlev et al. 10.18412/1816-0395-2023-11-15-21
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Mobile Airborne Lidar for Remote Methane Monitoring: Design, Simulation of Atmospheric Measurements and First Flight Tests S. Yakovlev et al. 10.3390/rs14246355
- Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0) F. Winterstein & P. Jöckel 10.5194/gmd-14-661-2021
- Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- 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
- 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
- Research on gas injection to increase coalbed methane production based on thermo-hydro-mechanical coupling H. Yu et al. 10.1016/j.fuel.2023.129294
- Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
- Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. 10.5194/acp-21-8791-2021
13 citations as recorded by crossref.
- Methane retrievals from airborne HySpex observations in the shortwave infrared P. Hochstaffl et al. 10.5194/amt-16-4195-2023
- Results of Remote Monitoring of Methane Concentration in the Air of Western Siberia Using the On-board Infrared Lidar Complex S. Yakovlev et al. 10.18412/1816-0395-2023-11-15-21
- In situ observations of greenhouse gases over Europe during the CoMet 1.0 campaign aboard the HALO aircraft M. Gałkowski et al. 10.5194/amt-14-1525-2021
- Mobile Airborne Lidar for Remote Methane Monitoring: Design, Simulation of Atmospheric Measurements and First Flight Tests S. Yakovlev et al. 10.3390/rs14246355
- Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0) F. Winterstein & P. Jöckel 10.5194/gmd-14-661-2021
- Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
- Local-to-regional methane emissions from the Upper Silesian Coal Basin (USCB) quantified using UAV-based atmospheric measurements T. Andersen et al. 10.5194/acp-23-5191-2023
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- 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
- 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
- Research on gas injection to increase coalbed methane production based on thermo-hydro-mechanical coupling H. Yu et al. 10.1016/j.fuel.2023.129294
- Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
- Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. 10.5194/acp-21-8791-2021
Latest update: 23 Dec 2024
Short summary
Based on the global and regional chemistry–climate model system MECO(n), we implemented a forecast system to support the planning of measurement campaign research flights with chemical weather forecasts. We applied this system for the first time to provide 6 d forecasts in support of the CoMet 1.0
campaign targeting methane emitted from coal mining ventilation shafts in the Upper Silesian Coal Basin in Poland. We describe the new forecast system and evaluate its forecast skill.
Based on the global and regional chemistry–climate model system MECO(n), we implemented a...
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