Semiprobabilistic Integrated Model
For Real Sea Forecasting
Author(s)
M. Greco, A. Mauro & G. Martino
Abstract
M. Greco, A. Mauro & G. Martino
Department of Environmental Engineering & Physics,
Abstract
This paper proposes an innovative hindcasting methodology of sea states based
on the \“Significant Wave Method” revisited in its application (Amatucci [1]) and
integrated by probabilistic concepts coming from the \“Equivalent Triangular
Storm model” and the \“Equivalent Sea model” (Boccotti [6]).
The hindcasting model for the prediction of the wind waves has been changed
using the real sequence of the wind states, wind stress factor and considering
wave generation only in the direction of the wind, with fetch lengths averaged
over small arcs or large arcs. With the obtained wind waves, the proposed
analytical solution allows to forecast wave climate off a fixed location by the
definition of the \“Resulted Hindcast Sea” and the associated \“Equivalent
Hindcast Sea”.
This method has been applied at the test case Tyrrhenian Sea - location Ponza
(Italy), within a medium-long observation period (07/1989-12/1998) b
Keywords
Related Book
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