On Kurtosis and Occurrence Probability of Freak Waves

By N. Mori, Peter A. E. M. Janssen. 2006

317 citations recorded by the source corpus.

Subfields: Atmospheric Science, Earth-Surface Processes, Oceanography

View Paper: https://www.semanticscholar.org/paper/bcc4fa361fe23ab054fad0d6f807ced8ae830d2e

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In Atmospheric Science

In Earth-Surface Processes

In Oceanography

Citations in the corpus

On Oceanic Rogue Waves (2015, methodology): “ows from Eq. (30) by setting m =0, namely h(L) T =H s x m + g e 16x m LG(x m) ; (32) where N DP R(x m) 1+Lx 2 m(4x 1) =1: For narrowband waves, y = 1 and Eq. (31) reduces to the MER model proposed by Mori and Janssen (2006). J O U R N A L O F P H Y S I C A L O C E A N O G R A P H Y 11 Clearly, this ”
On the Estimation of the Kurtosis in Directional Sea States for Freak Wave Forecasting (2011, unknown): “Compared to Mori and Janssen (2006), this is an extension of the BFI by including directional effects in the width parameter.”
Evolution of a Random Directional Wave and Freak Wave Occurrence (2009, background): “Soquet-Juglard et al. (2005) and Onorato et al. (2002) have also indicated that the efficiency is reduced with increased directionality, and more explicitly the effect of crest length was investigated by Gramstad and Trulsen (2007).”
Rogue waves and their generating mechanisms in different physical contexts (2013, background): “Under such hypotheses, if one assumes that the wave spectrum is narrow and has the shape of a Gaussian function, frozen in time, the following elegant result for the kurtosis is obtained [41,95]:”
On nonlinear wave groups and crest statistics (2009, methodology): “Amplitudes of such waves are also prone to symmetric amplifications induced by third-order modulational instabilities which can modify the distribution of various surface features well beyond the second-order predictions (Socquet-Juglard et al. 2005; Mori & Janssen 2006; Onorato et al. 2006).”