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

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    Identificadores
    URI: http://hdl.handle.net/10902/11059
    DOI: 10.1002/2015JC010952
    ISSN: 2169-9275
    ISSN: 2169-9291
    ISSN: 0148-0227
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    Author
    Rueda Zamora, Ana Cristina; Camus Braña, Paula; Méndez Incera, Fernando Javier; Tomás Sampedro, Antonio; Luceño Vázquez, Alberto
    Date
    2016-02
    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).

    Derechos
    ©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
    Publisher
    John Wiley & Sons
    Enlace a la publicación
    http://onlinelibrary.wiley.com/doi/10.1002/2015JC010952/abstract;jsessionid=5488BEFA4CF5FD5DAC13CF21BD6EEE00.f03t03
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    • D05 Artículos [97]
    • D05 Proyectos de Investigación [42]

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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España