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Haar Wavelet Analysis of Climatic Time Series
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL.
2014 (English)In: International Journal of Wavelets, Multiresolution and Information Processing, ISSN 0219-6913, E-ISSN 1793-690X, Vol. 12, no 2, 1450020- p.Article in journal (Refereed) Published
Abstract [en]

In order to extract the intrinsic information of climatic time series from background red noise, in this paper, we will first give an analytic formula on the distribution of Haar wavelet power spectra of red noise in a rigorous statistical framework. After that, by comparing the difference of wavelet power spectra of real climatic time series and red noise, we can extract intrinsic features of climatic time series. Finally, we use our method to analyze Arctic Oscillation (AO) which is a key aspect of climate variability in the Northern Hemisphere, and discover a great change in fundamental properties of the AO, commonly called a regime shift or tripping point.

Place, publisher, year, edition, pages
2014. Vol. 12, no 2, 1450020- p.
Keyword [en]
Climatic time series, Haar wavelet analysis, red noise
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:uu:diva-228059DOI: 10.1142/S0219691314500209ISI: 000336656900010OAI: oai:DiVA.org:uu-228059DiVA: diva2:732292
Available from: 2014-07-03 Created: 2014-07-03 Last updated: 2017-12-05Bibliographically approved

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Moore, John C.

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