Publications

Muraleedharan, G., Lucas, C. and Guedes Soares, C. (2016), “Regression Quantile Models for Estimating Trends in Extreme Significant Wave Heights”, Ocean Engineering, Vol. 118, pp. 204-215

Regression quantile models are proposed to model extreme significant wave height distributions in two Portuguese locations of Figueira da Foz and Azores in the North Atlantic Ocean. A data set from a 44 years hindcast produced in the HIPOCAS project was used in this study. In order to identify trends with time, the data set was divided in 11 sets of 4 year data. Three-parameter Weibull, generalised extreme value and generalised Pareto quantile functions are fitted to data and extrapolated to 50 and 100 year significant wave height estimates. The algorithm of distributional least absolutes estimated the model parameters. The regression quantile models showed the ability to model the historical trends that may subsist in long term data sets, a feature that the traditional fitting of extreme distributions does not account for.

You can download this paper from: http://www.sciencedirect.com/science/article/pii/S0029801816300634

If you did not manage to obtain a copy of this paper: Request a copy of this article



For information about all CENTEC publications you can download: Download the Complete List of CENTEC Publications