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Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework

Jones, T. S.; Franklin, J. E.; Chen, J.; Dietrich, F.; Hajny, K. D.; Paetzold, J. C.; Wenzel, A.; Gately, C.; Gottlieb, E.; Parker, H.; Dubey, M.; Hase, F. 1; Shepson, P. B.; Mielke, L. H.; Wofsy, S. C.
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)


Cities represent a large and concentrated portion of global greenhouse gas emissions, including methane. Quantifying methane emissions from urban areas is difficult, and inventories made using bottom-up accounting methods often differ greatly from top-down estimates generated from atmospheric observations. Emissions from leaks in natural gas infrastructure are difficult to predict and are therefore poorly constrained in bottom-up inventories. Natural gas infrastructure leaks and emissions from end uses can be spread throughout the city, and this diffuse source can represent a significant fraction of a city's total emissions.

We investigated diffuse methane emissions of the city of Indianapolis, USA, during a field campaign in May 2016. A network of five portable solar-tracking Fourier transform infrared (FTIR) spectrometers was deployed throughout the city. These instruments measure the mole fraction of methane in a total column of air, giving them sensitivity to larger areas of the city than in situ sensors at the surface.

We present an innovative inversion method to link these total column concentrations to surface fluxes. This method combines a Lagrangian transport model with a Bayesian inversion framework to estimate surface emissions and their uncertainties, together with determining the concentrations of methane in the air flowing into the city. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000137739
Veröffentlicht am 22.09.2021
DOI: 10.5194/acp-21-13131-2021
Zitationen: 12
Web of Science
Zitationen: 10
Zitationen: 14
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1680-7316, 1680-7324
KITopen-ID: 1000137739
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 21
Heft 17
Seiten 13131-13147
Nachgewiesen in Dimensions
Web of Science
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