[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.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Mabille, Georges ; Université de Liège - ULiège > Architecture Site Saint-Luc > Architecture Site Saint-Luc
Fettweis, Xavier ; Université de Liège - ULiège > Département de géographie > Topoclimatologie
Erpicum, Michel ; Université de Liège - ULiège > Département de géographie > Topoclimatologie
Nicolay, Samuel ; Université de Liège - ULiège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes
Language :
English
Title :
Confidence Levels for the Cycles Found in Air Temperature Data
