Modeling the statistical distribution of sea state parameters

Abstract

In this work a new model for joint distribution of significant wave height and zero-up-crossing period is proposed. The model uses the significant steepness as a random variable in order to improve the fit at the wave breaking limit. As the exponentiated Weibull distribution is used for both the independent wave height and the conditional steepness, the model is named EW model. The model is developed based on a train dataset of 161 buoys and then compared to two reference models (OMAE2020 and DNVGL), using the second part of the measurement data as a test dataset. The normalized deviation is selected as a metric for evaluation. The EW model performs better than the reference models for 111 buoys. The sharp modeling of the wave breaking limit can be seen as a significant characteristic of this model.