Time series modeling of significant wave height in multiple scales, combining various sources of data
| Autor: | S. F. Barstow, Gerassimos A. Athanassoulis, Ch. N. Stefanakos |
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| Rok vydání: | 2006 |
| Předmět: |
Atmospheric Science
Ecology Series (mathematics) Cyclostationary process Stochastic modelling Generalization Stochastic process Paleontology Soil Science Forestry Aquatic Science Oceanography Residual Standard deviation Geophysics Space and Planetary Science Geochemistry and Petrology Statistics Earth and Planetary Sciences (miscellaneous) Applied mathematics Significant wave height Earth-Surface Processes Water Science and Technology Mathematics |
| Zdroj: | Journal of Geophysical Research. 111 |
| ISSN: | 0148-0227 |
| DOI: | 10.1029/2005jc003020 |
| Popis: | [1] 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. |
| Databáze: | OpenAIRE |
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