Countinous Wavelet Transform; ENSO signals; ONI signals; Time series analysis
Abstract :
[en] The Wavelet-Induced Mode Extraction procedure (WIME) was developed drawing inspiration from Empirical Mode Decomposition. The concept involves decomposing the signal into modes, each presenting a characteristic frequency, using continuous wavelet transform. This method has yielded intriguing results in climatology. We improved the algorithm to take into account new parameters (noise, concavity, permissive zone evolution, border effects) and applied it to several climate signals. This version applied to ONI yields to impressive results: we detect 6 main periods and reconstruct the signal with a 94% correlation. This correlation grows as the niño/niña event gets stronger.
Research Center/Unit :
Mathematics - ULiège SPHERES - ULiège
Disciplines :
Mathematics Earth sciences & physical geography
Author, co-author :
Faulx, Elise ; Université de Liège - ULiège > Faculté des Sciences > Mast. scienc. géogr. or. glob. chang. à fin. appr.
Fettweis, Xavier ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Mabille, Georges ; Université de Liège - ULiège > Département d'Architecture
Nicolay, Samuel ; Université de Liège - ULiège > Département de mathématique > Analyse - Analyse fonctionnelle - Ondelettes
Language :
English
Title :
Wavelet-Induced Mode Extraction procedure: Application to climatic data
