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Brief Communication a Statistical Validation for the Cycles Found in Air Temperature Data Using a Morlet Wavelet-based Method : Volume 17, Issue 3 (20/05/2010)

By Nicolay, S.

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Book Id: WPLBN0003984565
Format Type: PDF Article :
File Size: Pages 4
Reproduction Date: 2015

Title: Brief Communication a Statistical Validation for the Cycles Found in Air Temperature Data Using a Morlet Wavelet-based Method : Volume 17, Issue 3 (20/05/2010)  
Author: Nicolay, S.
Volume: Vol. 17, Issue 3
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Mabille, G., Erpicum, M., Fettweis, X., & Nicolay, S. (2010). Brief Communication a Statistical Validation for the Cycles Found in Air Temperature Data Using a Morlet Wavelet-based Method : Volume 17, Issue 3 (20/05/2010). Retrieved from

Description: Département de mathématique, University of Liège, Liège, Belgium. 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.

Brief communication A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method

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