Spatial models for variability of significant wave height in world oceans
dc.contributor.author | Baxevani, Anastassia | en |
dc.contributor.author | Borgel, C. | en |
dc.contributor.author | Rychlik, I. | en |
dc.creator | Baxevani, Anastassia | en |
dc.creator | Borgel, C. | en |
dc.creator | Rychlik, I. | en |
dc.date.accessioned | 2019-12-02T10:33:46Z | |
dc.date.available | 2019-12-02T10:33:46Z | |
dc.date.issued | 2008 | |
dc.identifier.issn | 1053-5381 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/56467 | |
dc.description.abstract | Significant wave height (Hs) is a measure of the variability of the ocean surface. Benefits from knowing the spatial and temporal characteristics of this field are multiple: It is useful to size offshore structures, to foresee the fatigue of the ship's hull depending on its route and season, to compute probabilities of risks associated with marine operations. In this paper, we describe a method for modeling the Hs in space. The method is based on the Gaussian hypothesis for the logarithms of Hs and consists of estimating the mean and the covariance structure of log(Hs) using the information provided by the total variation. We then use the estimated parameters of every area in the world to construct maps of the median and the correlation structure. These maps are used to compute the probability of Hs exceeding a predefined level, and the distribution of the length of a storm. The data used are those of the TOPEX-Poseidon satellite. Copyright © by The International Society of Offshore and Polar Engineers. | en |
dc.source | International Journal of Offshore and Polar Engineering | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-41849093377&partnerID=40&md5=8f769d05dc1295889f88952863501885 | |
dc.subject | Computer simulation | en |
dc.subject | modeling | en |
dc.subject | Estimation | en |
dc.subject | estimation method | en |
dc.subject | Random processes | en |
dc.subject | Gaussian distribution | en |
dc.subject | Correlation methods | en |
dc.subject | Water waves | en |
dc.subject | spatial variation | en |
dc.subject | covariance analysis | en |
dc.subject | sea surface | en |
dc.subject | Significant wave height | en |
dc.subject | correlation | en |
dc.subject | Gaussian method | en |
dc.subject | Gaussian random field | en |
dc.subject | Gaussian random fields | en |
dc.subject | Isotropy | en |
dc.subject | Oceanography | en |
dc.subject | Random surface | en |
dc.subject | random wave | en |
dc.subject | Satellite data | en |
dc.subject | Satellite imagery | en |
dc.subject | standing wave | en |
dc.subject | Stationary | en |
dc.subject | Storms | en |
dc.subject | TOPEX-Poseidon | en |
dc.subject | Wave height | en |
dc.title | Spatial models for variability of significant wave height in world oceans | en |
dc.type | info:eu-repo/semantics/article | |
dc.description.volume | 18 | |
dc.description.issue | 1 | |
dc.description.startingpage | 1 | |
dc.description.endingpage | 7 | |
dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Cited By :7</p> | en |
dc.source.abbreviation | Int.J.Offshore Polar Eng. | en |
dc.contributor.orcid | Baxevani, Anastassia [0000-0002-7498-9048] | |
dc.gnosis.orcid | 0000-0002-7498-9048 |
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