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

• DOI: 10.5194/acp-22-9747-2022
• Publication Date: 2022-08-01T10:34:37Z
• Authors: Qiansi Tu; Matthias Schneider; Frank Hase; Farahnaz Khosrawi; Benjamin Ertl; Jaroslaw Necki; Darko Dubravica; Christopher J. Di...; Thomas Blumenstock; Dianjun Fang
• Keywords: Emission inventory

Abstract. Intensive coal mining activities in the Upper Silesian Coal Basin (USCB) southern Poland are resulting large amounts of methane (CH4) emissions. Annual CH4 emissions reached 448 kt according to European Pollutant Release and Transfer Register (E-PRTR, 2017). As a emission hotspot Europe, it is importance investigate its sources make accurate estimates. In this study, we use satellite-based total column-averaged dry-air mole fraction (XCH4) from TROPOspheric Monitoring Instrument (TROPOMI) tropospheric XCH4 (TXCH4) Infrared Atmospheric Sounding Interferometer (IASI). addition, high-resolution model forecasts, TXCH4, Copernicus Atmosphere Service (CAMS) used estimate rate averaged over 3 years (November 2017–December 2020) USCB region (49.3–50.8∘ N 18–20∘ E). The wind-assigned anomaly method first validated using CAMS forecast data (XCH4 TXCH4), showing good agreement with GLOBal ANThropogenic (CAMS-GLOB-ANT) inventory. It indicates that works well. This further applied TROPOMI + IASI TXCH4 by Carbon dioxide Methane (CoMet) inventory derived for year 2018. calculated about 496 yr−1 (5.9×1026 molec. s−1) 437 (5.2×1026 TXCH4. These values very close ones given E-PRTR (448 yr−1) CoMet (555 yr−1), thus these inventories. similar estimates also imply strong source, dynamically induced variations mixing ratio upper troposphere lower stratosphere secondary importance. Uncertainties different error (background removal noise data, vertical wind shear, field segmentation, angle cone) approximately 14.8 % 11.4 results suggest our quite robust might serve as simple or CO2 other regions.