Estimating the parameters of ocean wave spectra

Grainger, Jake and Sykulski, Adam and Jonathan, Philip and Ewans, Kevin (2021) Estimating the parameters of ocean wave spectra. Ocean Engineering, 229: 108934. ISSN 0029-8018

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Wind-generated waves are often treated as stochastic processes. There is particular interest in their spectral density functions, which are often expressed in some parametric form. Such spectral density functions are used as inputs when modelling structural response or other engineering concerns. Therefore, accurate and precise recovery of the parameters of such a form, from observed wave records, is important. Current techniques are known to struggle with recovering certain parameters, especially the peak enhancement factor and spectral tail decay. We introduce an approach from the statistical literature, known as the de-biased Whittle likelihood, and address some practical concerns regarding its implementation in the context of wind-generated waves. We demonstrate, through numerical simulation, that the de-biased Whittle likelihood outperforms current techniques, such as least squares fitting, both in terms of accuracy and precision of the recovered parameters. We also provide a method for estimating the uncertainty of parameter estimates. We perform an example analysis on a data-set recorded off the coast of New Zealand, to illustrate some of the extra practical concerns that arise when estimating the parameters of spectra from observed data.

Item Type:
Journal Article
Journal or Publication Title:
Ocean Engineering
Uncontrolled Keywords:
?? wave spectrumparameter estimationjonswapspectral-likelihoodde-biased whittle likelihoodparameter uncertaintyocean engineeringenvironmental engineering ??
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Deposited On:
22 Mar 2021 11:40
Last Modified:
20 Jun 2024 00:52