On the choice of data transformation for modelling time series of significant wave height |
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| Authors: | C Cunha C Guedes Soares |
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| Institution: | Unit of Marine Technology and Engineering, Instituto Superior Técnico, Universidade Técnica de Lisboa, Av. Rovisco Pais, 1096 Lisboa Codex, Portugal |
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| Abstract: | Autoregressive models have been shown to adequately model the time series of significant wave height. However, since this series exhibits a seasonal component and has a non-gaussian nature, it is necessary to transform the series before a model can be fit to the data. Two different transformations that have been used in earlier work are shown not to be appropriate for all types of applications. A third transformation is proposed here, which combines the better features of the two earlier ones and which is appropriate for simulation work. This is demonstrated with an example of a series from Figueira da Foz, a location of the Portuguese Coast. |
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| Keywords: | Water waves Mathematical models Regression analysis Time series analysis Water levels Mathematical transformations Computer simulation Wave height modeling |
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