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| Titel |
Brief communication "A statistical validation for the cycles found in air temperature data using a Morlet wavelet-based method" |
| VerfasserIn |
S. Nicolay, G. Mabille, X. Fettweis, M. Erpicum |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 17, no. 3 ; Nr. 17, no. 3 (2010-05-20), S.269-272 |
| Datensatznummer |
250013683
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| Publikation (Nr.) |
 copernicus.org/npg-17-269-2010.pdf |
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| Zusammenfassung |
| 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. |
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