Preprints
https://doi.org/10.5194/egusphere-2026-3797
https://doi.org/10.5194/egusphere-2026-3797
31 Aug 2026
 | 31 Aug 2026
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Understanding the sources and variability of methane emissions in Madrid with Sentinel-5P TROPOMI, GHGSat, and aircraft observations

Daniel A. Potts, Harjinder Sembhi, Matthieu Dogniaux, Joannes D. Maasakkers, Berend J. Schuit, Dirk Schuettemeyer, Timon Hummel, Rocio Barrio Guillo, Oliver Schneising, Luis Guanter, and Ilse Aben

Abstract. Routine, passive monitoring using satellite sensors offers an effective means of understanding the location, frequency and intensity of industrial methane emissions. Satellites have been used largely to identify fugitive point source emissions in sectors such as oil and gas, but their efficacy for more diffuse sources such as landfills is less established, and formal integration into official reporting and compliance frameworks has yet to be achieved. A persistent methane hotspot originating from Madrid was identified using TROPOMI, where it remains one of the largest signals in Europe. Two landfills, Las Dehesas and Pinto, were identified as significant contributors based on GHGSat observations.

This study presents a comprehensive analysis of the TROPOMI and GHGSat observational record up to 2024 for Madrid, alongside aircraft observations, all contextualised against previous short-term studies, facility-scale reporting, and gridded inventories. Plume-based city-scale emissions averaged 13 ± 9 t/hr from TROPOMI compared to ~8 t/hr from the gridded inventories. Facility-scale emissions ranged from 2.5 ± 1.3 t/hr (Las Dehesas) and 3.8 ± 2.0 t/hr (Pinto) from GHGSat, and 3.0 ± 1.8 to 4.6 ± 2.7 t/hr respectively from aircraft, compared to reported averages of 0.4 and 1.0 t/hr between 2018–2024. Measurement-derived rates exceeded reported estimates by a factor of 0.5–6, highlighting a severe gap between bottom-up inventory and top-down observational approaches. We discuss challenges associated with satellite interpretation and meteorology, connect emissions to on-site management practices, and make recommendations towards operational use of these datasets.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Daniel A. Potts, Harjinder Sembhi, Matthieu Dogniaux, Joannes D. Maasakkers, Berend J. Schuit, Dirk Schuettemeyer, Timon Hummel, Rocio Barrio Guillo, Oliver Schneising, Luis Guanter, and Ilse Aben

Status: open (until 12 Oct 2026)

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Daniel A. Potts, Harjinder Sembhi, Matthieu Dogniaux, Joannes D. Maasakkers, Berend J. Schuit, Dirk Schuettemeyer, Timon Hummel, Rocio Barrio Guillo, Oliver Schneising, Luis Guanter, and Ilse Aben
Daniel A. Potts, Harjinder Sembhi, Matthieu Dogniaux, Joannes D. Maasakkers, Berend J. Schuit, Dirk Schuettemeyer, Timon Hummel, Rocio Barrio Guillo, Oliver Schneising, Luis Guanter, and Ilse Aben
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Latest update: 31 Aug 2026
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Short summary
Routine monitoring of industrial emissions is vital to understand the location, frequency, and intensity of methane emissions. We used satellite and aircraft measurements to understand methane emissions from Madrid across various scales and sectors. Using a range of methods, we identify a clear gap between top-down and bottom-up approaches, discuss challenges associated with satellite interpretation, connect emissions to on-site practices, and make recommendations towards operational use.
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