Confidence Levels for the Cycles Found in Air Temperature Data
English
Mabille, Georges[Université de Liège - ULg > Architecture Site Saint-Luc > Architecture Site Saint-Luc >]
Fettweis, Xavier[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Erpicum, Michel[Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Nicolay, Samuel[Université de Liège - ULg > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes >]
Apr-2009
Yes
No
International
European Geosciences Union General Assembly
Vienne
Autriche
[en] air temperature data ; wavelets
[en] Recently, new cycles have been observed in air temperature data and proxy series using a wavelet-based methodology. Although many evidences attest the validity of this method applied to climatic data, no systematic study of its efficiency has been carried out. Here, we estimate the confidence levels for this approach and show that the observed cycles are significant.