An extreme value model for maximum wave heights based on weather types
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...
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ftunivcantabria:oai:repositorio.unican.es:10902/11059 2023-05-15T17:31:45+02:00 An extreme value model for maximum wave heights based on weather types Rueda Zamora, Ana Cristina Camus Braña, Paula Méndez Incera, Fernando Javier Tomás Sampedro, Antonio Luceño Vázquez, Alberto Universidad de Cantabria 2016-02 http://hdl.handle.net/10902/11059 https://doi.org/10.1002/2015JC010952 eng eng John Wiley & Sons http://onlinelibrary.wiley.com/doi/10.1002/2015JC010952/abstract;jsessionid=5488BEFA4CF5FD5DAC13CF21BD6EEE00.f03t03 2169-9275 2169-9291 0148-0227 BIA2014-59643-R http://hdl.handle.net/10902/11059 doi:10.1002/2015JC010952 ©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. openAccess Journal of Geophysical Research. Oceans Volume 121, Issue 2 February 2016 Pages 1262?1273 info:eu-repo/semantics/article publishedVersion 2016 ftunivcantabria https://doi.org/10.1002/2015JC010952 2023-02-20T10:29:00Z 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). Article in Journal/Newspaper North Atlantic Universidad de Cantabria: UCrea Journal of Geophysical Research: Oceans 121 2 1262 1273 |
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Open Polar |
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Universidad de Cantabria: UCrea |
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ftunivcantabria |
language |
English |
description |
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). |
author2 |
Universidad de Cantabria |
format |
Article in Journal/Newspaper |
author |
Rueda Zamora, Ana Cristina Camus Braña, Paula Méndez Incera, Fernando Javier Tomás Sampedro, Antonio Luceño Vázquez, Alberto |
spellingShingle |
Rueda Zamora, Ana Cristina Camus Braña, Paula Méndez Incera, Fernando Javier Tomás Sampedro, Antonio Luceño Vázquez, Alberto An extreme value model for maximum wave heights based on weather types |
author_facet |
Rueda Zamora, Ana Cristina Camus Braña, Paula Méndez Incera, Fernando Javier Tomás Sampedro, Antonio Luceño Vázquez, Alberto |
author_sort |
Rueda Zamora, Ana Cristina |
title |
An extreme value model for maximum wave heights based on weather types |
title_short |
An extreme value model for maximum wave heights based on weather types |
title_full |
An extreme value model for maximum wave heights based on weather types |
title_fullStr |
An extreme value model for maximum wave heights based on weather types |
title_full_unstemmed |
An extreme value model for maximum wave heights based on weather types |
title_sort |
extreme value model for maximum wave heights based on weather types |
publisher |
John Wiley & Sons |
publishDate |
2016 |
url |
http://hdl.handle.net/10902/11059 https://doi.org/10.1002/2015JC010952 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Journal of Geophysical Research. Oceans Volume 121, Issue 2 February 2016 Pages 1262?1273 |
op_relation |
http://onlinelibrary.wiley.com/doi/10.1002/2015JC010952/abstract;jsessionid=5488BEFA4CF5FD5DAC13CF21BD6EEE00.f03t03 2169-9275 2169-9291 0148-0227 BIA2014-59643-R http://hdl.handle.net/10902/11059 doi:10.1002/2015JC010952 |
op_rights |
©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. openAccess |
op_doi |
https://doi.org/10.1002/2015JC010952 |
container_title |
Journal of Geophysical Research: Oceans |
container_volume |
121 |
container_issue |
2 |
container_start_page |
1262 |
op_container_end_page |
1273 |
_version_ |
1766129487284535296 |