Using wavelet spectrum analysis to resolve breaking events in the wind wave time series

Details Using wavelet spectrum analysis to resolve breaking events in the wind wave time series Using wavelet spectrum analysis to resolve breaking events in the wind wave time series

Oct 2004

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004angeo..22.3335l&link_type=abstract

Annales Geophysicae, vol. 22, Issue 10, pp.3335-3345

Statistics

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9

Scientific paper

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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