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Publications
Bernardino, M., Boukhanovsky, A. and Guedes Soares, C. (2008), “Alternative Approachs to Storm Statistics in the Ocean”, Proceedings of the 27th International Conference on Offshore Mechanics and Arctic Engineering (OMAE´08), 15-20 June, 2008, Estoril, Portugal, ASME, New York, Paper OMAE2008-58053
The classical approach to storm statistics in the ocean is the Eulerian analysis of wave time series in a given location. This wave data could be observations or modeled data. The information obtained from this approach resumed to storm frequency, duration and intensity. No information about the storm life time, path or spatial characteristics was possible to obtain. The advent of meteorological data reanalysis, intensive development of hydrodynamic wave simulation models and the applications of high-performance computing results in the availability of hindcasted wave datasets that can be used, together with a Lagrangean, approach to identify storms as spatial structures in a field. In this paper we consider the principles for spatio-temporal identification and statistical analysis of storm variability with reference to open ocean areas, on the base of HIPOCAS North Atlantic hindcast data. Using ten years of significant wave height data, storms were identified using both approaches and two different sets of storm characteristics were obtained. The enhanced information that is possible to obtain from the Lagrangean approach in comparison to the Eulerian, is illustrated.
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