The long-term wind and wave spectra of the Mediterranean Sea

Stefanakos, CN

dc.contributor.author	Stefanakos, CN	en
dc.date.accessioned	2014-03-01T02:43:35Z
dc.date.available	2014-03-01T02:43:35Z
dc.date.issued	2005	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31487
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-27744469016&partnerID=40&md5=66903f610d84dd49644b7d0e41a9f0a1	en
dc.subject	Mediterranean Sea	en
dc.subject	Seasonality	en
dc.subject	Spectral Density	en
dc.subject	Spectrum	en
dc.subject	Standard Deviation	en
dc.subject	Stochastic Process	en
dc.subject	Time Series	en
dc.subject.other	Correlation theory	en
dc.subject.other	Hydrodynamics	en
dc.subject.other	Marine engineering	en
dc.subject.other	Oceanography	en
dc.subject.other	Random processes	en
dc.subject.other	Wind	en
dc.subject.other	Geographic parameterization	en
dc.subject.other	Mediterranean sea	en
dc.subject.other	Spectral density	en
dc.subject.other	Wave spectra	en
dc.subject.other	Water waves	en
dc.title	The long-term wind and wave spectra of the Mediterranean Sea	en
heal.type	conferenceItem	en
heal.identifier.secondary	OMAE2005-67181	en
heal.publicationDate	2005	en
heal.abstract	It is a well-known fact that long-term time series of wind and wave data are modelled as nonstationary stochastic processes with yearly periodic mean value and standard deviation (periodically correlated or cyclostationary stochastic processes). Using this model, the initial nonstationary series are decomposed to a seasonal (periodic) mean value m(t) and a residual time series W(t) multiplied by a seasonal (periodic) standard deviation s(t), of the form Y(t) = m(t) + s(t)W(t). The periodic components m(t) and s(t) are estimated using mean monthly values, and the residual time series W(t) is examined for stationarity. For this purpose, spectral densities of W(t) are obtained from different seasonal segments, calculated and compared with each other. It is shown that W(t) can indeed be considered stationary, and thus Y(t) can be considered periodically correlated. This analysis has been applied to model wind and wave data from several locations in the Mediterranean Sea. It turns out that the spectrum of W(t) is very weakly dependent on the site, a fact that might be useful for the geographic parameterization of wind and wave climate. Copyright © 2005 by ASME.	en
heal.journalName	Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE	en
dc.identifier.volume	2	en
dc.identifier.spage	593	en
dc.identifier.epage	599	en