Reference : A statistical validation for the cycles found in air temperature data using a Morlet wav...
Scientific journals : Article
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/59386
A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method
English
Nicolay, Samuel mailto [Université de Liège - ULg > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes >]
Mabille, Georges mailto [Université de Liège - ULg > > > Doct. sc. (géographie - Bologne)]
Fettweis, Xavier mailto [Université de Liège - ULg > Département de géographie > Topoclimatologie >]
Erpicum, Michel mailto [Université de Liège - ULg > Département de géographie > Topoclimatologie >]
2010
Nonlinear Processes in Geophysics
European Geosciences Union
17
269-272
Yes (verified by ORBi)
International
1023-5809
[en] air temperature data ; cycles ; wavelets
[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.
http://hdl.handle.net/2268/59386
10.5194/npg-17-269-2010

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