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| Titel |
Using wavelet spectrum analysis to resolve breaking events in the wind wave time series |
| VerfasserIn |
P. C. Liu, A. V. Babanin |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 22, no. 10 ; Nr. 22, no. 10 (2004-11-03), S.3335-3345 |
| Datensatznummer |
250015013
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| Publikation (Nr.) |
 copernicus.org/angeo-22-3335-2004.pdf |
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| Zusammenfassung |
| This paper presents the development of a new approach, based on wavelet
spectrum analysis, for the detection of breaking waves in a time series of
surface wave fluctuations. The approach is shown to be capable of producing
equivalent wave breaking statistics as field measurements based on detection
of whitecaps at a fixed point of observation. This wavelet-based approach is
applicable to both deep water and finite depth environments. Based on
applications of this approach to the analysis of available field data, a
novel classification of wave breaking processes that consists of incipient,
developing, and subsiding phases is proposed. |
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