ICCE 2016 Cover Image


extreme waves
sampling bias
wave measurement

How to Cite

Dentale, F., Reale, F., D’Alessandro, F., Damiani, L., Di Leo, A., Pugliese Carratelli, E., & Tomasicchio, G. R. (2017). SAMPLING BIAS IN THE ESTIMATION OF SIGNIFICANT WAVE HEIGHT EXTREME VALUES. Coastal Engineering Proceedings, 1(35), waves.33.


It has been shown before, and it is intuitively evident, that in a Significant Wave Height (SWH) time series, the longer the sampling interval, the lower is the number of events which are above a given threshold value. As a consequence, the use of data with a low time resolution (such as a 3 h sampling, for instance) causes a considerable undervaluation of the extreme SWH values for a given return time RT. In this paper an example of such a bias is provided, and a method is suggested to estimate it on a regional basis. Results may help to improve the use of historical wave meters data which were often collected with a low time resolution, and may also provide a tool to improve the application of Numerical Meteo-Wave models to the evaluation of extremes.


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