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Volume 16, issue 6
Atmos. Chem. Phys., 16, 3683–3710, 2016
https://doi.org/10.5194/acp-16-3683-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 3683–3710, 2016
https://doi.org/10.5194/acp-16-3683-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Mar 2016

Research article | 21 Mar 2016

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

Stephan Henne et al.

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Alexe, M., Bergamaschi, P., Segers, A., Detmers, R., Butz, A., Hasekamp, O., Guerlet, S., Parker, R., Boesch, H., Frankenberg, C., Scheepmaker, R. A., Dlugokencky, E., Sweeney, C., Wofsy, S. C., and Kort, E. A.: Inverse modelling of CH4 emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY, Atmos. Chem. Phys., 15, 113–133, https://doi.org/10.5194/acp-15-113-2015, 2015.
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., and Reinhardt, T.: Operational Convective-Scale Numerical Weather Prediction with the COSMO Model: description and Sensitivities, Mon. Weather Rev., 139, 3887–3905, https://doi.org/10.1175/MWR-D-10-05013.1, 2011.
Bamberger, I., Stieger, J., Buchmann, N., and Eugster, W.: Spatial variability of methane: attributing atmospheric concentrations to emissions, Environ. Pollut., 190, 65–74, https://doi.org/10.1016/j.envpol.2014.03.028, 2014.
Bamberger, I., Oney, B., Brunner, D., Henne, S., Leuenberger, M., Buchmann, N., and Eugster, W.: Observation of atmospheric methane and carbon dioxide: tall tower or mountain top stations?, Bound. Lay. Meteorol., in review, 2016.
Bergamaschi, P., Bräunlich, M., Marik, T., and Brenninkmeijer, C. A. M.: Measurements of the carbon and hydrogen isotopes of atmospheric methane at Izaña, Tenerife: seasonal cycles and synoptic-scale variations, J. Geophys. Res.-Atmos., 105, 14531–14546, https://doi.org/10.1029/1999JD901176, 2000.
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Greenhouse gas emissions can be assessed by "top-down" methods that combine atmospheric observations, a transport model and a mathematical optimisation framework. Here, we apply such a top-down method to the methane emissions of Switzerland, utilising observations from the recently installed CarboCount-CH network. Our Swiss total emissions largely agree with those of the national "bottom-up" inventory, whereas regional differences suggest lower than reported emissions from manure handling.
Greenhouse gas emissions can be assessed by "top-down" methods that combine atmospheric...
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