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

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 it...

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Main Authors: M. Erpicum, X. Fettweis, G. Mabille, S. Nicolay
Format: Article
Language:English
Published: Copernicus Publications 2010-05-01
Series:Nonlinear Processes in Geophysics
Online Access:http://www.nonlin-processes-geophys.net/17/269/2010/npg-17-269-2010.pdf
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spelling doaj-c2abc291dfc64402be042926e367ac582020-11-24T22:04:21ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462010-05-0117326927210.5194/npg-17-269-2010<i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"M. ErpicumX. FettweisG. MabilleS. NicolayRecently, 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://www.nonlin-processes-geophys.net/17/269/2010/npg-17-269-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Erpicum
X. Fettweis
G. Mabille
S. Nicolay
spellingShingle M. Erpicum
X. Fettweis
G. Mabille
S. Nicolay
<i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
Nonlinear Processes in Geophysics
author_facet M. Erpicum
X. Fettweis
G. Mabille
S. Nicolay
author_sort M. Erpicum
title <i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
title_short <i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
title_full <i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
title_fullStr <i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
title_full_unstemmed <i>Brief communication</i> "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method"
title_sort <i>brief communication</i> "a statistical validation for the cycles found in air temperature data using a morlet wavelet-based method"
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2010-05-01
description 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.
url http://www.nonlin-processes-geophys.net/17/269/2010/npg-17-269-2010.pdf
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