The reliable monitoring of sea state parameters is a key factor for weather forecasting, as well as to ensure the safety of ship and navigation. In current analysis different spectrum estimation techniques are applied to random wave signals, generated from a theoretical wave spectrum obtained by combining both wind sea and swell components, with different significant wave heights and peak periods. Hence, the proposed spectrum resembling methods are applied in order to compare the relevant performances, with reference to both short and longtime durations of the considered wave signal.
Data processing for the accurate evaluation of combined wind sea and swell spectra
Piscopo V.;Scamardella A.
2020-01-01
Abstract
The reliable monitoring of sea state parameters is a key factor for weather forecasting, as well as to ensure the safety of ship and navigation. In current analysis different spectrum estimation techniques are applied to random wave signals, generated from a theoretical wave spectrum obtained by combining both wind sea and swell components, with different significant wave heights and peak periods. Hence, the proposed spectrum resembling methods are applied in order to compare the relevant performances, with reference to both short and longtime durations of the considered wave signal.File in questo prodotto:
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