Munasik, Munasik (2018) Seasonal and Non-Seasonal Generalized Pareto Distribution to Estimate Extreme Significant Wave Height in The Banda Sea. IOP Publishing.

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Abstract

Abstract. The information of extreme wave height return level was required for maritime
planning and management. The recommendation methods in analyzing extreme wave were
better distributed by Generalized Pareto Distribution (GPD). Seasonal variation was often
considered in the extreme wave model. This research aims to identify the best model of GPD
by considering a seasonal variation of the extreme wave. By using percentile 95 % as the
threshold of extreme significant wave height, the seasonal GPD and non-seasonal GPD fitted.
The Kolmogorov-Smirnov test was applied to identify the goodness of fit of the GPD model.
The return value from seasonal and non-seasonal GPD was compared with the definition of
return value as criteria. The Kolmogorov-Smirnov test result shows that GPD fits data very
well both seasonal and non-seasonal model. The seasonal return value gives better information
about the wave height characteristics.

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