Atmos. Chem. Phys., 16, 3683–3710, 2016 www.atmos-chem-phys.net/16/3683/2016/ doi:10.5194/acp-16-3683-2016 © Author(s) 2016. CC Attribution 3.0 License. Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling Stephan Henne1, Dominik Brunner1, Brian Oney1, Markus Leuenberger2, Werner Eugster3, Ines Bamberger3,4, Frank Meinhardt5, Martin Steinbacher1, and Lukas Emmenegger1 1Empa Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, Dübendorf, Switzerland 2Univ. of Bern, Physics Inst., Climate and Environmental Division, and Oeschger Centre for Climate Change Research, Bern, Switzerland 3ETH Zurich, Inst. of Agricultural Sciences, Zurich, Switzerland 4Institute of Meteorology and Climate Research Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany 5Umweltbundesamt (UBA), Kirchzarten, Germany Correspondence to: Stephan Henne (
[email protected]) Received: 30 October 2015 – Published in Atmos. Chem. Phys. Discuss.: 16 December 2015 Revised: 10 March 2016 – Accepted: 14 March 2016 – Published: 21 March 2016 Abstract. Atmospheric inverse modelling has the potential emissions by 10 to 20 % in the most recent SGHGI, which is to provide observation-based estimates of greenhouse gas likely due to an overestimation of emissions from manure emissions at the country scale, thereby allowing for an inde- handling. Urban areas do not appear as emission hotspots pendent validation of national emission inventories. Here, we in our posterior results, suggesting that leakages from nat- present a regional-scale inverse modelling study to quantify ural gas distribution are only a minor source of CH4 in the emissions of methane (CH4) from Switzerland, making Switzerland. This is consistent with rather low emissions of use of the newly established CarboCount-CH measurement 8.4 Ggyr−1 reported by the SGHGI but inconsistent with the network and a high-resolution Lagrangian transport model.