Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/14304
Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI
Title: Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI
Authors: Tu, QiansiHase, FrankSchneider, Matthias RESEARCHERID García Rodríguez, Omaira Elena ORCID RESEARCHERID Autor AEMETBlumenstock, ThomasBorsdorff, TobiasFrey, MatthiasKhosrawi, FarahnazLorente, AlbaAlberti, CarlosBustos Seguela, Juan José deAutor AEMETButz, AndréCarreño Corbella, VirgilioAutor AEMETCuevas Agulló, Emilio ORCID RESEARCHERID SCOPUSID Autor AEMETCurcoll, RogerDiekmann, ChristopherDubravica, DarkoErtl, BenjaminEstruch, CarmeLeón-Luis, Sergio FabiánAutor AEMETMarrero, CarlosAutor AEMETMorguí, Josep AntonRamos López, RamónAutor AEMETScharun, ChristianSchneider, CarstenSepúlveda Hernández, EliezerAutor AEMETToledano, CarlosTorres, Carlos ORCID RESEARCHERID Autor AEMET
Keywords: Carbon Column Observing Network; Tropospheric Monitoring Instrument; Infrared Atmospheric Sounding Interferometer; reenhouse gases emissions; Remote sensing; Methane
Issue Date: 2022
Publisher: European Geosciences Union
Citation: Atmospheric Chemistry and Physics. 2022, 22, p. 295–317
Publisher version: https://doi.org/10.5194/acp-22-295-2022
Abstract: We use different methane ground- and space-based remote sensing data sets for investigating the emission strength of three waste disposal sites close to Madrid. We present a method that uses wind-assigned anomalies for deriving emission strengths from satellite data and estimating their uncertainty to 9–14 %. The emission strengths estimated from the remote sensing data sets are significantly larger than the values published in the official register.
Sponsorship : This research has been supported by the European Space Agency (COCCON-PROCEEDS and COCCONPROCEEDS II, grant no. ESA-IPL-POELG-cl-LE-2015-1129), the Ministerio de Economía y Competitividad (INMENSE project, grant no. CGL2016-80688-P), the Deutsche Forschungsgemeinschaft (project MOTIV, ID 290612604; and project TEDDY, ID 416767181).
URI: http://hdl.handle.net/20.500.11765/14304
ISSN: 1680-7316
1680-7324
Appears in Collections:Artículos científicos 2019-2022


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