Stochastic asymmetry properties of 3D Gauss-Lagrange ocean waves with directional spreading

Lindgren, Georg; Lindgren, Finn (2011). Stochastic asymmetry properties of 3D Gauss-Lagrange ocean waves with directional spreading. Stochastic Models, 27, (3), 490 - 520
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DOI:
| Published | English
Authors:
Lindgren, Georg ; Lindgren, Finn
Department:
Mathematical Statistics
Spatio-temporal Stochastic Models-lup-obsolete
Spatio-Temporal Stochastic Modelling Group
MERGE: ModElling the Regional and Global Earth system
BECC: Biodiversity and Ecosystem services in a Changing Climate
Research Group:
Spatio-temporal Stochastic Models-lup-obsolete
Spatio-Temporal Stochastic Modelling Group
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.
Keywords:
Crossing theory ; Directional spreading ; Front-back asymmetry ; Gaussianprocess ; Palm distribution ; Rice formula ; Slope asymmetry ; Wave steepness.
ISSN:
1532-6349
LUP-ID:
96fa8d9f-e633-4b7b-8b71-41622ef71ef5 | Link: https://lup.lub.lu.se/record/96fa8d9f-e633-4b7b-8b71-41622ef71ef5 | Statistics

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