The stochastic Lagrange wave model is a realistic alternative to the Gaussian linear wave model, which has been successfully used in ocean engineering for more than half a century. This paper presents the slope distributions and other characteristic distributions at level crossings for asymmetric Lagrange time waves, i.e. what can be observed at a fixed measuring station, thereby extending results previously given for space waves. The distributions are given as expectations in a multivariate normal distribution, and they have to be evaluated by simulation or numerical integration. Interesting characteristic variables are: slope in time, slope in space, and vertical particle velocity when the waves are observed close to instances when the wa...
The influence of forward speed on stochastic free-surface crossing, in a Gaussian wave field, is inv...
The conditional value of a stationary random process, given the level-upcrossing of another dependen...
In the general theory off stochastic processes, among the most challenging and still mainly unsolved...
In the stochastic Lagrange model for ocean waves the vertical and horizontal location of surface wat...
In many applications, such as remote sensing or wave slamming on ships and offshore structures, it i...
The Gaussian wave model has been successfully used in ocean engineering for more than half a century...
The Gaussian linear wave model, which has been successfully used in ocean engineering for more than ...
Gaussian wave models have been successfully used since the early 1950s to describe the development o...
Ocean waves exhibit more or less a Gaussian distribution for the instantaneous water surface height,...
Water particle orbits are key elements in the Lagrange wave formulation. The stochastic Miche implem...
The Gauss-Lagrange stochastic wave model is known to produce irregular waves with realistic degrees ...
We present two flexible stochastic models for 2D and 3D ocean waves with potential to reproduce seve...
Abstract. The paper rst states a simplied formulation of V. I. Piter-barg's theorem about extre...
The conditional value of a stationary random process, given the level-upcrossing of another dependen...
In as tationary stochastic process the wave-length and amplitude are defined as the difference in ti...
The influence of forward speed on stochastic free-surface crossing, in a Gaussian wave field, is inv...
The conditional value of a stationary random process, given the level-upcrossing of another dependen...
In the general theory off stochastic processes, among the most challenging and still mainly unsolved...
In the stochastic Lagrange model for ocean waves the vertical and horizontal location of surface wat...
In many applications, such as remote sensing or wave slamming on ships and offshore structures, it i...
The Gaussian wave model has been successfully used in ocean engineering for more than half a century...
The Gaussian linear wave model, which has been successfully used in ocean engineering for more than ...
Gaussian wave models have been successfully used since the early 1950s to describe the development o...
Ocean waves exhibit more or less a Gaussian distribution for the instantaneous water surface height,...
Water particle orbits are key elements in the Lagrange wave formulation. The stochastic Miche implem...
The Gauss-Lagrange stochastic wave model is known to produce irregular waves with realistic degrees ...
We present two flexible stochastic models for 2D and 3D ocean waves with potential to reproduce seve...
Abstract. The paper rst states a simplied formulation of V. I. Piter-barg's theorem about extre...
The conditional value of a stationary random process, given the level-upcrossing of another dependen...
In as tationary stochastic process the wave-length and amplitude are defined as the difference in ti...
The influence of forward speed on stochastic free-surface crossing, in a Gaussian wave field, is inv...
The conditional value of a stationary random process, given the level-upcrossing of another dependen...
In the general theory off stochastic processes, among the most challenging and still mainly unsolved...