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Volume 8, issue 22
Atmos. Chem. Phys., 8, 6719–6727, 2008
https://doi.org/10.5194/acp-8-6719-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Results from the European project UFTIR, Time series of Upper...

Atmos. Chem. Phys., 8, 6719–6727, 2008
https://doi.org/10.5194/acp-8-6719-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.

  24 Nov 2008

24 Nov 2008

Trend analysis of greenhouse gases over Europe measured by a network of ground-based remote FTIR instruments

T. Gardiner1, A. Forbes1, M. de Mazière2, C. Vigouroux2, E. Mahieu3, P. Demoulin3, V. Velazco4, J. Notholt4, T. Blumenstock5, F. Hase5, I. Kramer5, R. Sussmann6, W. Stremme6, J. Mellqvist7, A. Strandberg7, K. Ellingsen8, and M. Gauss8 T. Gardiner et al.
  • 1National Physical Laboratory, Teddington, UK
  • 2Belgisch Instituut voor Ruimte-Aëronomie, Brussels, Belgium
  • 3University of Liège, Institute of Astrophysics and Geophysics, Liège, Belgium
  • 4University of Bremen, Department of Physics, Institute of Environmental Physics, Bremen, Germany
  • 5Forschungszentrum Karlsruhe, Institute of Meteorology and Climate Research, Atmospheric Trace Constituents and Remote Sensing, Karlsruhe, Germany
  • 6Forschungszentrum Karlsruhe, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Garmish-Partenkirchen, Germany
  • 7Chalmers University of Technology, Göteborg, Sweden
  • 8University of Oslo, Oslo, Norway

Abstract. This paper describes the statistical analysis of annual trends in long term datasets of greenhouse gas measurements taken over ten or more years. The analysis technique employs a bootstrap resampling method to determine both the long-term and intra-annual variability of the datasets, together with the uncertainties on the trend values. The method has been applied to data from a European network of ground-based solar FTIR instruments to determine the trends in the tropospheric, stratospheric and total columns of ozone, nitrous oxide, carbon monoxide, methane, ethane and HCFC-22. The suitability of the method has been demonstrated through statistical validation of the technique, and comparison with ground-based in-situ measurements and 3-D atmospheric models.

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