Articles | Volume 24, issue 8
https://doi.org/10.5194/acp-24-4875-2024
https://doi.org/10.5194/acp-24-4875-2024
Research article
 | 
25 Apr 2024
Research article |  | 25 Apr 2024

Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method

Qiansi Tu, Frank Hase, Kai Qin, Jason Blake Cohen, Farahnaz Khosrawi, Xinrui Zou, Matthias Schneider, and Fan Lu

Data sets

TROPOMI Level 2 Methane Total Column products, Version 02 Copernicus Sentinel-5P (processed by ESA) https://doi.org/10.5270/S5P-3lcdqiv

Global Anthropogenic Emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service Simulations of Air Quality Forecasts and Reanalyses Antonin Soulie et al. https://doi.org/10.24380/eets-qd81

Global Greenhouse Gas Emissions European Commission https://edgar.jrc.ec.europa.eu/dataset_ghg70

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Short summary
Four-year satellite observations of XCH4 are used to derive CH4 emissions in three regions of China’s coal-rich Shanxi province. The wind-assigned anomalies for two opposite wind directions are calculated, and the estimated emission rates are comparable to the current bottom-up inventory but lower than the CAMS and EDGAR inventories. This research enhances the understanding of emissions in Shanxi and supports climate mitigation strategies by validating emission inventories.
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