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Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling

Henne, Stephan; Brunner, Dominik; Oney, Brian; Leuenberger, Markus; Eugster, Werner; Bamberger, Ines; Meinhardt, Frank; Steinbacher, Martin; Emmenegger, Lukas

Atmospheric inverse modelling has the potential to provide observation-based estimates of greenhouse gas emissions at the country scale, thereby allowing for an independent validation of national emission inventories. Here, we present a regional-scale inverse modelling study to quantify the emissions of methane (CH$_{4}$) from Switzerland, making use of the newly established CarboCount-CH measurement network and a high-resolution Lagrangian transport model. In our reference inversion, prior emissions were taken from the “bottom-up” Swiss Greenhouse Gas Inventory (SGHGI) as published by the Swiss Federal Office for the Environment in 2014 for the year 2012. Overall we estimate national CH$_{4}$ emissions to be 196 ± 18 Ggyr$^{-1}$ for the year 2013 (1σ uncertainty). This result is in close agreement with the recently revised SGHGI estimate of 206 ± 33 Ggyr$^{-1}$ as reported in 2015 for the year 2012. Results from sensitivity inversions using alternative prior emissions, uncertainty covariance settings, large-scale background mole fractions, two different inverse algorithms (Bayesian and extended Kalman filter), and two different tr ... mehr

Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2016
Sprache Englisch
Identifikator DOI: 10.5194/acp-16-3683-2016
ISSN: 1680-7316
URN: urn:nbn:de:swb:90-554351
KITopen ID: 1000055435
HGF-Programm 12.02.02; LK 01
Erschienen in Atmospheric Chemistry and Physics
Band 16
Heft 6
Seiten 3683-3710
Lizenz CC BY 3.0 DE: Creative Commons Namensnennung 3.0 Deutschland
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