Modelling the seasonality of extreme waves in the gulf of Mexico

Jonathan, P. and Ewans, K. (2008) Modelling the seasonality of extreme waves in the gulf of Mexico. In: ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering : Volume 2: Structures, Safety and Reliability. ASME, pp. 113-123. ISBN 9780791848197

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Abstract

Statistics of storm peaks over threshold depend typically on a number of covariates including location, season and storm direction. Here, a non-homogeneous Poisson model is adopted to characterise storm peak events with respect to season for two Gulf of Mexico locations. The behaviour of storm peak significant wave height over threshold is characterised using a generalised Pareto model, the parameters of which vary smoothly with season using a Fourier form. The rate of occurrence of storm peaks is also modelled using a Poisson model with rate varying with season. A seasonally-varying extreme value threshold is estimated independently. The degree of smoothness of extreme value shape and scale, and the Poisson rate, with season, is regulated by roughness-penalised maximum likelihood; the optimal value of roughness selected by cross-validation. Despite the fact that only the peak significant wave height event for each storm is used for modelling, the influence of the whole period of a storm on design extremes for any seasonal interval is modelled using the concept of storm dissipation, providing a consistent means to estimate design criteria for arbitrary seasonal intervals. Characteristics of the 100-year storm peak significant wave height, estimated using the seasonal model, are examined and compared to those estimated ignoring seasonality. Copyright © 2008 by ASME.

Item Type:
Contribution in Book/Report/Proceedings
Subjects:
?? covariatescross validationdesign criterionextreme valueextreme wavesfouriergulf of mexiconon-homogeneousoptimal valuespareto modelpeaks over thresholdpoisson modelseasonal modelsseasonalitysignificant wave heightstorm directionarctic engineeringlocationma ??
ID Code:
133093
Deposited By:
Deposited On:
22 Apr 2019 11:30
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Jul 2024 04:34