An extreme value model for maximum wave heights based on weather types
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Identificadores
URI: http://hdl.handle.net/10902/11059DOI: 10.1002/2015JC010952
ISSN: 2169-9275
ISSN: 2169-9291
ISSN: 0148-0227
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Rueda Zamora, Ana Cristina


Fecha
2016-02Derechos
©American Geophysical Union. Rueda, A., P. Camus, F. J. Mendez, A. Tomas, and A. Luceño (2016), An extreme value model for maximum wave heights based on weather types, J. Geophys. Res. Oceans, 121, doi:10.1002/2015JC010952.
Publicado en
Journal of Geophysical Research. Oceans Volume 121, Issue 2 February 2016 Pages 1262?1273
Editorial
John Wiley & Sons
Enlace a la publicación
Resumen/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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