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Time series modeling of significant wave height in multiple scales, combining various sources of data

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Time series modeling of significant wave height in multiple scales, combining various sources of data (EN)
Stefanakos, ChN (EN)
Athanassoulis, GA (EN)
Barstow, SF (EN)
journalArticle (EN)
2014-03-01T01:25:24Z
2006 (EN)
In the present paper, a composite 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 modeling the variability of mean monthly values and mean monthly standard deviations, respectively, and of a stationary random process modeling the residual, state-by-state, variability. In this way, the time series of significant wave height is given the structure of a multiple-scale composite stochastic process. The present model is a generalization of the nonstationary stochastic modeling introduced by the authors in previous works. Copyright 2006 by the American Geophysical Union. (EN)
Oceanography (EN)
time series analysis (EN)
wave modeling (EN)
Time series analysis (EN)
Multiple Scales (EN)
Statistical methods (EN)
ocean wave (EN)
Random processes (EN)
Significant Wave Height (EN)
Water waves (EN)
significant wave height (EN)
Time Series Model (EN)
numerical model (EN)
Mathematical models (EN)
stochasticity (EN)
Journal of Geophysical Research C: Oceans (EN)
English
AMER GEOPHYSICAL UNION (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
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