An extreme value model for maximum wave heights based on weather types

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Abstract

Extreme wave heights are climate-related events. Therefore, special attention should be given to the large-scale weather patterns responsible for wave generation in order to properly understand wave climate variability. We propose a classification of weather patterns to statistically downscale daily significant wave height maxima to a local area of interest. The time-dependent statistical model obtained here is based on the convolution of the stationary extreme value model associated to each weather type. The interdaily dependence is treated by a climate-related extremal index. The model's ability to reproduce different time scales (daily, seasonal, and interannual) is presented by means of its application to three locations in the North Atlantic: Mayo (Ireland), La Palma Island, and Coruña (Spain).

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Rueda, A., Camus, P., Méndez, F. J., Tomás, A., & Luceño, A. (2016). An extreme value model for maximum wave heights based on weather types. Journal of Geophysical Research: Oceans, 121(2), 1262–1273. https://doi.org/10.1002/2015JC010952

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