## Abstract

In the stochastic Lagrange model for ocean waves the vertical and horizontal location of

surface water particles are modeled as correlated Gaussian processes. In this article we investigate

the statistical properties of wave characteristics related to wave asymmetry in the 3D Lagrange

model. We present a modification of the original Lagrange model that can produce front-back

asymmetry both of the space waves, i.e. observation of the sea surface at a fixed time, and

of the time waves, observed at a fixed measuring station. The results, which are based on a

multivariate form of Rice’s formula for the expected number of level crossings, are given in

the form of the cumulative distribution functions for the slopes observed either by asynchronous

sampling in space, or at synchronous sampling at upcrossings and down-crossings, respectively,

of a specified fixed level. The theory is illustrated in a numerical section, showing how the

degree of wave asymmetry depends on the directional spectral spreading and on the mean wave

direction. It is seen that the asymmetry is more accentuated for high waves, a fact that may be

of importance in safety analysis of capsizing risk.

surface water particles are modeled as correlated Gaussian processes. In this article we investigate

the statistical properties of wave characteristics related to wave asymmetry in the 3D Lagrange

model. We present a modification of the original Lagrange model that can produce front-back

asymmetry both of the space waves, i.e. observation of the sea surface at a fixed time, and

of the time waves, observed at a fixed measuring station. The results, which are based on a

multivariate form of Rice’s formula for the expected number of level crossings, are given in

the form of the cumulative distribution functions for the slopes observed either by asynchronous

sampling in space, or at synchronous sampling at upcrossings and down-crossings, respectively,

of a specified fixed level. The theory is illustrated in a numerical section, showing how the

degree of wave asymmetry depends on the directional spectral spreading and on the mean wave

direction. It is seen that the asymmetry is more accentuated for high waves, a fact that may be

of importance in safety analysis of capsizing risk.

Original language | English |
---|---|

Pages (from-to) | 490-520 |

Journal | Stochastic Models |

Volume | 27 |

Issue number | 3 |

DOIs | |

Publication status | Published - 2011 |

## Subject classification (UKÄ)

- Probability Theory and Statistics

## Keywords

- Crossing theory
- Directional spreading
- Front-back asymmetry
- Gaussianprocess
- Palm distribution
- Rice formula
- Slope asymmetry
- Wave steepness.