| Autor: |
Lin-Ye, Jue, García-León, Manuel, Gràcia, Vicente, Ortego, Maribel, Lionello, Piero, Sanchez-Arcilla, Agustín |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Lin-Ye, J., Garc\'ia-Le\'on, M., Gr\`acia, V., Ortego, M. I., Lionello, P., & S\'anchez-Arcilla, A. (2017). Multivariate statistical modelling of future marine storms. Applied Ocean Research, 65, 192-205 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1016/j.apor.2017.04.009 |
| Popis: |
Extreme events, such as wave-storms, need to be characterized for coastal infrastructure design purposes. Such description should contain information on both the univariate behaviour and the joint-dependence of storm-variables. These two aspects have been here addressed through generalized Pareto distributions and hierarchical Archimedean copulas. A non-stationary model has been used to highlight the relationship between these extreme events and non-stationary climate. It has been applied to a Representative Concentration Pathway 8.5 Climate-Change scenario, for a fetch-limited environment (Catalan Coast). In the non-stationary model, all considered variables decrease in time, except for storm-duration at the northern part of the Catalan Coast. The joint distribution of storm variables presents cyclical fluctuations, with a stronger influence of climate dynamics than of climate itself. |
| Databáze: |
arXiv |
| Externí odkaz: |
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