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.
CITATION STYLE
Gardiner, T., Forbes, A., De Mazière, M., Vigouroux, C., Mahieu, E., Demoulin, P., … Gauss, M. (2008). Trend analysis of greenhouse gases over Europe measured by a network of ground-based remote FTIR instruments. Atmospheric Chemistry and Physics, 8(22), 6719–6727. https://doi.org/10.5194/acp-8-6719-2008
Mendeley helps you to discover research relevant for your work.