On coasts with high tidal ranges, or subject to high surges, both still water levels and waves
can be important in assessing flood risk; their relative importance depends on location and …

A methodology for determining extreme joint probabilities of two metocean variables, in
particular wave height and sea level, is presented in the paper. This methodology focuses in …

It is widely recognised that coastal flood events can arise from combinations of extreme
waves and sea levels. For flood risk analysis and the design of coastal structures it is …

Due to the unprecedented growth in population and economic development along the
coastal zone all over the world, knowledge about future extreme oceanographic events will …

The statistical distribution of the height of sea waves in deep water has been modelled using
the Rayleigh (Longuet-Higgins, 1952) and Weibull distributions (Forristall, 1978). Depth …

Conditions required to cause flooding often involve more than one source variable such as
large waves combined with a high sea level causing coastal flooding, or high river flow …

In this Report, the possibility of utilizing joint probability methods in coastal flood hazard
component calculations is investigated, since flood risk is rarely a function of just one source …

Coastal flooding is typically caused by combinations of extreme water‐levels and large
waves. Two extreme value methods, one univariate and the other multivariate, have been …

An accurate joint probability assessment of water levels and waves is of primary importance
for effective coastal flooding management even in microtidal environments subjected to …

Over the past five decades, several approaches for estimating probabilities of extreme still
water levels have been developed. Currently, different methods are applied not only on …