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Modelling significant wave height distributions with quantile functions for estimation of extreme wave heights

机译:使用分位数函数对重要的波高分布进行建模以估算极端波高

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摘要

This paper starts by introducing extreme wave height analysis using quantile functions, which are an alternative to the classical approaches to model long term maxima or extreme values. The long-term distribution of significant wave heights from four locations are modelled with Davies, 3-parameter Weibull, generalized extreme value (GEV) and generalized Pareto (GP3) quantile functions. Even though the 3-parameter Weibull and GP3 quantile functions are adequate wave height models in this study, the performance of the Davies quantile function for extreme wave analysis seems to be consistently good both temporally and spatially.
机译:本文首先介绍使用分位数函数的极端波高分析,这是对长期最大值或极值进行建模的经典方法的替代方法。使用Davies,3参数Weibull,广义极值(GEV)和广义Pareto(GP3)分位数函数对来自四个位置的重要波高的长期分布进行建模。尽管在本研究中3参数Weibull和GP3分位数功能是足够的波高模型,但在极端波分析中Davies分位数功能的性能在时间和空间上似乎始终如一。

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