Article (Scientific journals)
A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method
Nicolay, Samuel; Mabille, Georges; Fettweis, Xavier et al.
2010In Nonlinear Processes in Geophysics, 17, p. 269-272
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Keywords :
air temperature data; cycles; wavelets
Abstract :
[en] Recently, new cycles, associated with periods of 30 and 43 months, respectively, have been observed by the authors in surface air temperature time 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 confidence levels for this approach and show that the observed cycles are significant. Taking these cycles into consideration should prove helpful in increasing the accuracy of the climate model projections of climate change and weather forecast.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Nicolay, Samuel  ;  Université de Liège - ULiège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes
Mabille, Georges ;  Université de Liège - ULiège > Doct. sc. (géographie - Bologne)
Fettweis, Xavier  ;  Université de Liège - ULiège > Département de géographie > Topoclimatologie
Erpicum, Michel ;  Université de Liège - ULiège > Département de géographie > Topoclimatologie
Language :
English
Title :
A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method
Publication date :
2010
Journal title :
Nonlinear Processes in Geophysics
ISSN :
1023-5809
eISSN :
1607-7946
Publisher :
European Geosciences Union
Volume :
17
Pages :
269-272
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 31 May 2010

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