A Copula-Based Bayesian Network to Model Wave Climate Multivariate Uncertainty in the Alboran Sea

An accurate estimation of wind and wave variables is key for coastal and offshore applications. Recently, copulas have gained popularity for modelling wind and waves multivariate dependence, since accounting for the hydrodynamic relationships between them is needed to ensure reliable estimations of the required design values. In this study,...

High-Resolution Atmospheric Modelling and the Effects on the Prediction of Wave Characteristics

Since their development in the 1970s, mesoscale atmospheric models have been used for a variety of meteorological applications. Over the years, the models have evolved and nowadays, state-of-the-art atmospheric models are capable of operating on spatial resolutions in the order of kilometres. In the hydraulic engineering community, atmospheric...

Stability of fishing vessels in waves and wind

Application of the random storm method to global structural loading on fixed offshore structures

In conventional practice extreme design conditions for offshore structures are obtained very conservatively by extrapolating 3-hourly statistics of wind, wave and current data to a (say) 100 year return level, assuming that the 100-year extremes occur simultaneously and act in the same direction. This study involves an alternative approach...