Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 15
Articles | Volume 22, issue 15
https://doi.org/10.5194/acp-22-9747-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-22-9747-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 15
Research article
 | 
01 Aug 2022
Research article |  | 01 Aug 2022

Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method

Qiansi Tu, Matthias Schneider, Frank Hase, Farahnaz Khosrawi, Benjamin Ertl, Jaroslaw Necki, Darko Dubravica, Christopher J. Diekmann, Thomas Blumenstock, and Dianjun Fang

Data sets

SRON S5P - RemoTeC scientific TROPOMI XCH4 dataset A. Lorente, T. Borsdorff, J. aan de Brugh, J. Landgraf, and O. Hasekamp https://doi.org/10.5281/zenodo.4447228

MUSICA IASI full retrieval product standard output (processing version 3.2.1) M. Schneider, B. Ertl, and C. Diekmann https://doi.org/10.35097/408

Emissions of CH4 and CO2 over the Upper Silesian Coal Basin (Poland) and its vicinity (4.01) M. Gałkowski, A. Fiehn, J. Swolkien, M. Stanisavljevic, P. Korben, M. Menoud, J. Necki, A. Roiger, T. Röckmann, C. Gerbig, and A. Fix https://doi.org/10.18160/3K6Z-4H73

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Short summary
Three-year satellite observations and high-resolution model forecast of XCH4 are used to derive CH4 emissions in the USCB region, Poland – a region of intense coal mining activities. The wind-assigned anomalies for two opposite wind directions are calculated and the estimated emission rates are very close to the inventories and in reasonable agreement with the previous studies. Our method is quite robust and can serve as a simple method to estimate CH4 or CO2 emissions for other regions.
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