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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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Cited articles

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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