A computational tool for wind wave prediction based on CEM method

Emrecan, Polat
In this study, a computational tool is presented for the wind wave prediction based on the CEM Method. The method is given for the computation of storm-averaged wind wave characteristics. The computational tool utilizes the hourly average wind speed and direction and the effective fetch data for a geographical location to compute the hourly significant wave height and period and the mean direction. In the study, the main focus is given on identifying the individual storms and the individual storm durations considered in the computation of hourly wind wave characteristics. The computational tool is applied to two locations in the Mediterranean Sea, where the wind and wave buoy measurements are available. The individual storms are identified based on three main parameters: minimum wind speed, maximum hourly wind speed change and maximum hourly wind direction change. In the study, several ranges are defined for these parameters and the effect of the values of these parameters on identifying storms and the resulting wind wave characteristics are given and discussed. Also, in the computation of hourly wind wave characteristics, several approaches are considered. These are briefly listed as; the continuous data, storm-based with user-defined duration and storm-based with storm duration. The results of hourly averaged wind wave characteristics for these approaches are presented with respective error statistics. The best approach is observed to be the storm-based user-defined duration approach. In the study, for the locations considered, it is observed that the user-defined duration is related to the wind climate of the location.


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Citation Formats
P. Emrecan, “A computational tool for wind wave prediction based on CEM method,” M.S. - Master of Science, Middle East Technical University, 2022.