Articles | Volume 22, issue 10
https://doi.org/10.5194/angeo-22-3335-2004
© Author(s) 2004. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-22-3335-2004
© Author(s) 2004. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Using wavelet spectrum analysis to resolve breaking events in the wind wave time series
P. C. Liu
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48105, USA
A. V. Babanin
Swinburne University of Technology, School of Engineering and Science, Hawthorn, Victoria 3122, Australia
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Latest update: 02 Apr 2025