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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, Qiansi; Hase, Frank; Schneider, Matthias
; García Rodríguez, Omaira Elena
; Blumenstock, Thomas; Borsdorff, Tobias; Frey, Matthias; Khosrawi, Farahnaz; Lorente, Alba; Alberti, Carlos; Bustos Seguela, Juan José de
; Butz, André; Carreño Corbella, Virgilio
; Cuevas Agulló, Emilio
; Curcoll, Roger; Diekmann, Christopher; Dubravica, Darko; Ertl, Benjamin; Estruch, Carme; León-Luis, Sergio Fabián
; Marrero, Carlos
; Morguí, Josep Anton; Ramos López, Ramón
; Scharun, Christian; Schneider, Carsten; Sepúlveda Hernández, Eliezer; Toledano, Carlos; Torres, Carlos
|
| 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 |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | ACP_Tu_2022_compresse... | 1,27 MB | Adobe PDF |  View/Open |
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