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dc.contributor.authorAilliot, P.en
dc.contributor.authorBaxevani, Anastassiaen
dc.contributor.authorCuzol, A.en
dc.contributor.authorMonbet, V.en
dc.contributor.authorRaillard, N.en
dc.creatorAilliot, P.en
dc.creatorBaxevani, Anastassiaen
dc.creatorCuzol, A.en
dc.creatorMonbet, V.en
dc.creatorRaillard, N.en
dc.date.accessioned2019-12-02T10:33:21Z
dc.date.available2019-12-02T10:33:21Z
dc.date.issued2011
dc.identifier.issn1180-4009
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56353
dc.description.abstractThe surface of the ocean, and so such quantities as the significant wave height, $H-s$, can be thought of as a random surface that develops over time. In this paper, we explore certain types of random fields in space and time, with and without dynamics that may or may not be driven by a physical law, as models for the significant wave height. Reanalysis data is used to estimate the sea-state motion which is modeled as a hidden Markov chain in a state space framework by means of an AR(1) process or in the presence of the dispersion relation. Parametric covariance models with and without dynamics are fitted to reanalysis and satellite data and compared to the empirical covariance functions. The derived models have been validated against satellite and buoy data. © 2010 John Wiley & Sons, Ltd.en
dc.sourceEnvironmetricsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79954598150&doi=10.1002%2fenv.1061&partnerID=40&md5=0e2f8a28eeed63057cdcd9da0458c41d
dc.subjectempirical analysisen
dc.subjectState-space modelsen
dc.subjectsatellite dataen
dc.subjectspatiotemporal analysisen
dc.subjectbuoy systemen
dc.subjectcovariance analysisen
dc.subjectMarkov chainen
dc.subjectsea surfaceen
dc.subjectSignificant wave heighten
dc.subjectSpace-time modelen
dc.subjectwave heighten
dc.titleSpace-time models for moving fields with an application to significant wave height fieldsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/env.1061
dc.description.volume22
dc.description.issue3
dc.description.startingpage354
dc.description.endingpage369
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :7</p>en
dc.source.abbreviationEnvironmetricsen
dc.contributor.orcidBaxevani, Anastassia [0000-0002-7498-9048]
dc.gnosis.orcid0000-0002-7498-9048


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