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Quantification of CH$_{4}$ emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI

Tu, Q.; Hase, F.; Schneider, M.; Garciá, O.; Blumenstock, T. ORCID iD icon; Borsdorff, T.; Frey, M.; Khosrawi, F.; Lorente, A.; Alberti, Carlos ORCID iD icon; Bustos, J. J.; Butz, A.; Carreño, V.; Cuevas, E.; Curcoll, R.; Diekmann, C. J.; Dubravica, D.; Ertl, B.; Estruch, C.; ... mehr

Abstract:

The objective of this study is to derive methane (CH$_{4}$) emissions from three landfills, which are found to be the most significant CH$_{4}$ sources in the metropolitan area of Madrid in Spain. We derive CH$_{4}$ emissions from the CH$_{4}$ enhancements observed by spaceborne and ground-based instruments. We apply satellite-based measurements from the TROPOspheric Monitoring Instrument (TROPOMI) and the Infrared Atmospheric Sounding Interferometer (IASI) together with measurements from the ground-based COllaborative Carbon Column Observing Network (COCCON) instruments.

In 2018, a 2-week field campaign for measuring the atmospheric concentrations of greenhouse gases was performed in Madrid in the framework of Monitoring of the Greenhouse Gases Concentrations in Madrid (MEGEI-MAD) project. Five COCCON instruments were deployed at different locations around the Madrid city center, enabling the observation of total column-averaged CH$_{4}$ mixing ratios (XCH$_{4}$). Considering the prevalent wind regimes, we calculate the wind-assigned XCH$_{4}$ anomalies for two opposite wind directions. Pronounced bipolar plumes are found when applying the method to NO$_{2}$, which implies that our method of wind-assigned anomaly is suitable to estimate enhancements of trace gases at the urban level from satellite-based measurements. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000142389
Veröffentlicht am 27.01.2022
Originalveröffentlichung
DOI: 10.5194/acp-22-295-2022
Scopus
Zitationen: 16
Dimensions
Zitationen: 24
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000142389
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Atmospheric Chemistry and Physics
Verlag European Geosciences Union (EGU)
Band 22
Heft 1
Seiten 295-317
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Nachgewiesen in Scopus
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