Spatial Features of Extreme Waves in Gulf of Mexico

R. Wada, P. Jonathan, T. Waseda
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引用次数: 1

Abstract

Extreme value analysis of significant wave height using data from a single location often incurs large uncertainty due to small sample size. Including wave data from nearby locations increases sample size at the risk of introducing dependency between extreme events and hence violating modelling assumptions. In this work, we consider extreme value analysis of spatial wave data from the 109-year GOMOS wave hindcast for the Gulf of Mexico, seeking to incorporate the effects of spatial dependence in a simple but effective manner. We demonstrate that, for estimation of return values at a given location, incorporation of data from a circular disk region with radius of approximately 5° (long.-lat.), centred at the location of interest, provides an appropriate basis for extreme value analysis using the STM-E approach of Wada et al. (2018).
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墨西哥湾极端波浪的空间特征
利用单一地点的数据进行显著波高极值分析,往往由于样本量小而产生很大的不确定性。包括附近地点的波浪数据增加了样本量,有可能在极端事件之间引入依赖关系,从而违反建模假设。在这项工作中,我们考虑对墨西哥湾109年GOMOS波后预报的空间波数据进行极值分析,试图以一种简单而有效的方式纳入空间依赖性的影响。我们证明,为了估计给定位置的返回值,将半径约为5°(长-纬度)的圆盘区域的数据合并到感兴趣的位置,为使用Wada等人(2018)的STM-E方法进行极值分析提供了适当的基础。
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