A wavelet-based wave group detector and predictor of extreme events over unidirectional sloping bathymetry
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.108936
Abstract: Abstract Extreme waves usually emerge from intensive wave groups. Detection of wave groups from random waves may be a key step in predicting the occurrence of extreme events. A new method to discriminate wave groups… read more here.
Keywords: wavelet; bathymetry; extreme events; wave groups ... See more keywords
Partitioning the Extreme Wave Spectrum of Hurricane Wilma to Improve the Design of Wave Energy Converters
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15097414
Abstract: Analysis of the omnidirectional energy spectrum from storm wave measurements provides valuable parameters for understanding the specific local conditions that wave energy converters would have to withstand. Partitioning the energy spectrum also helps to identify… read more here.
Keywords: energy; hurricane wilma; spectrum; wave groups ... See more keywords