Imperial College London
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Dr Adam Sykulski

Faculty of Natural Sciences, Department of Mathematics

Senior Lecturer in Statistics
 
 
 
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adam.sykulski CV

 
 
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Location

 

527Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Grainger:2021:10.1016/j.oceaneng.2021.108934,
author = {Grainger, JP and Sykulski, AM and Jonathan, P and Ewans, K},
doi = {10.1016/j.oceaneng.2021.108934},
journal = {Ocean Engineering},
title = {Estimating the parameters of ocean wave spectra},
url = {http://dx.doi.org/10.1016/j.oceaneng.2021.108934},
volume = {229},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Grainger,JP
AU  - Sykulski,AM
AU  - Jonathan,P
AU  - Ewans,K
DO  - 10.1016/j.oceaneng.2021.108934
PY  - 2021///
SN  - 0029-8018
TI  - Estimating the parameters of ocean wave spectra
T2  - Ocean Engineering
UR  - http://dx.doi.org/10.1016/j.oceaneng.2021.108934
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000648525500021&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.sciencedirect.com/science/article/pii/S0029801821003693?via%3Dihub
UR  - http://hdl.handle.net/10044/1/98106
VL  - 229
ER  -
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