Multiscale Time Series Modelling of Significant Wave Height

Stefanakos, ChN; Athanassoulis, GA; Barstow, SF

dc.contributor.author	Stefanakos, ChN	en
dc.contributor.author	Athanassoulis, GA	en
dc.contributor.author	Barstow, SF	en
dc.date.accessioned	2014-03-01T02:49:15Z
dc.date.available	2014-03-01T02:49:15Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34439
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0942271996&partnerID=40&md5=79b38444af644099d0adb756abae52f8	en
dc.subject	In situ buoy data	en
dc.subject	Nonstationary time series	en
dc.subject	Satellite altimeter data	en
dc.subject	Seasonal patterns	en
dc.subject	Significant wave height	en
dc.subject.other	Aneroid altimeters	en
dc.subject.other	Climate change	en
dc.subject.other	Mathematical models	en
dc.subject.other	Random processes	en
dc.subject.other	Water waves	en
dc.subject.other	Weather satellites	en
dc.subject.other	In situ buoy data	en
dc.subject.other	Nonstationary time series	en
dc.subject.other	Satellite altimeter data	en
dc.subject.other	Seasonal patterns	en
dc.subject.other	Significant wave height	en
dc.subject.other	Marine engineering	en
dc.title	Multiscale Time Series Modelling of Significant Wave Height	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	In the present paper, a compound stochastic model is formulated and validated, resolving the state-by-state, seasonal and interannual variabilities of Hs. The model is a combination of two cyclostationary random processes modelling the variability of mean monthly values and mean monthly standard deviations, respectively, and of a stationary random process modelling the residual, state-by-state, variability. In this way, the time series of significant wave height is given the structure of a multiple-scale compound stochastic process. The present model is a generalization of the nonstationary stochastic model introduced by Athanassoulis and Stefanakos (1995).	en
heal.journalName	Proceedings of the International Offshore and Polar Engineering Conference	en
dc.identifier.volume	12	en
dc.identifier.spage	66	en
dc.identifier.epage	73	en