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Stochastic characterization of ocean depth and filter approximations for wave kinematics
Abstract A rational procedure for characterization of water depths, shallow or deep, for a random sea state is developed, in context with linearized wave theory. The usefulness of employing the expressions for simulation of ‘intermediate water depths’ is pointed out. Numerical algorithms for horizontal and vertical propagation of water kinematics are developed. Several techniques, involving both digital and analog filters, are used. The filter coefficients are obtained as functions of the propagation distance which is normalized by the local water depth. This procedure is proposed as an alternative to the conventional method of wave kinematics simulation which involves superposition of harmonics with random phases.
Stochastic characterization of ocean depth and filter approximations for wave kinematics
Abstract A rational procedure for characterization of water depths, shallow or deep, for a random sea state is developed, in context with linearized wave theory. The usefulness of employing the expressions for simulation of ‘intermediate water depths’ is pointed out. Numerical algorithms for horizontal and vertical propagation of water kinematics are developed. Several techniques, involving both digital and analog filters, are used. The filter coefficients are obtained as functions of the propagation distance which is normalized by the local water depth. This procedure is proposed as an alternative to the conventional method of wave kinematics simulation which involves superposition of harmonics with random phases.
Stochastic characterization of ocean depth and filter approximations for wave kinematics
Spanos, Pol (Autor:in) / Bhattacharjee, Subir (Autor:in)
Applied Ocean Research ; 16 ; 177-184
10.05.1994
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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