Probability distributions of surface gravity waves during spectral changes

By Hervé Socquet-Juglard, K. Dysthe, Karsten Trulsen, Harald E. Krogstad, Jingdong Liu. Journal of Fluid Mechanics, 2005

275 citations recorded by the source corpus.

Subfields: Earth-Surface Processes, Geophysics, Oceanography

View Paper: https://www.semanticscholar.org/paper/8488a902cb65dd78c7f39ccb8e1ab0862bcafe49

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In Earth-Surface Processes

In Geophysics

Francesco Fedele

In Oceanography

Citations in the corpus

On nonlinear wave groups and crest statistics (2009, background): “The numerical simulations of relatively wideband waves based on the Dysthe equation (Socquet-Juglard et al. 2005) and the fairly recent analyses of oceanic measurements gathered during a number of hurricanes in the Gulf of Mexico and North Sea storms (Forristall 2000, 2007; Tayfun & Fedele 2007b;…”
Evolution of weakly nonlinear random directional waves: laboratory experiments and numerical simulations (2010, methodology): “The numerical and experimental p.d.f.s are compared to the Gaussian distribution and the Tayfun second-order distribution (see Tayfun 1980 and (8) in Socquet-Juglard et al. 2005 for details).”
Statistical properties of mechanically generated surface gravity waves: a laboratory experiment in a three-dimensional wave basin (2009, background): “…second-order distribution (see Socquet-Juglard et al. 2005): p(η) = 1 − 7σ 2k2p/8√ 2π(1 + 3G + 2G2) exp ( − G 2 2σ 2k2p ) , (3.3) where G = √ 1 + 2k2pση − 1, (3.4) which has been derived in Socquet-Juglard et al. (2005) as an approximation of the Tayfun second-order distribution (see Tayfun 1980).”
Evolution of a Random Directional Wave and Freak Wave Occurrence (2009, background): “This result is consistent with the report by Soquet-Juglard et al. (2005) and more recently by Gramstad and Trulsen (2007).”
On Oceanic Rogue Waves (2015, methodology): “ximum over large areas (‘˛L 0) x(PT) ST =x m+2mx 2 + g e (1+4mx m) 16x m ; (21) where now xsatisﬁes 16M 3 m 2P R(x ) = 1. This is the 3-D analogue of the 2-D Piterbarg-Tayfun (PT) model formulated by Socquet-Juglard et al. (2005), and hereafter referred to as 3D-PT (see also Piterbarg (1995) and For”