Incorporating Wave Spectrum Information in Real-time Free-surface Elevation Forecasting: Real-sea Experiments

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Title: Incorporating Wave Spectrum Information in Real-time Free-surface Elevation Forecasting: Real-sea Experiments
Authors: Mérigaud, Alexis
Herterich, James G.
Ringwood, John
Dias, Frédéric
Flanagan, Jason
Permanent link: http://hdl.handle.net/10197/10399
Date: 12-Sep-2018
Online since: 2019-05-13T08:46:57Z
Abstract: Real-time prediction of free-surface elevation is necessary for a variety of applications. Assuming a Gaussian wave field, the wave spectrum can be used to calculate the statistically optimal predictor, for a given prediction configuration (i.e. for a given combination of measurement instants and spatial locations, relative to the instants and locations where and when the wave is predicted). More specifically, the optimal predictor is linear, and its coefficients need only be updated as the wave condition evolves. This spectrum-based prediction (SBP) approach encompasses, in a unified theoretical framework, both “time-series” and “spatially-distributed” prediction configurations. In this paper, the validity of the SBP theoretical framework is tested against real-sea wave data, which originate from a measurement campaign using an Acoustic Doppler Current Profiler (ADCP), and consist of free-surface elevation time series, at the corners and centre of a 25m-by-25m square. The directional wave spectra, corresponding to the sea states where the time series are provided, have also been calculated. The empirical SBP accuracy, obtained by applying the SBP in the real-sea time series, is assessed in various sea conditions and prediction configurations, and compared with the theoretical SBP accuracy, evaluated based on the wave spectra. Although the ADCP measurement layout is clearly not ideal for the purpose of wave forecasting, empirical results are physically and statistically consistent, and show good agreement with theoretical results, thus supporting the relevance of the SBP framework.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Elsevier
Journal: IFAC-PapersOnLine
Volume: 51
Issue: 29
Start page: 232
End page: 237
Copyright (published version): 2018 International Federation of Automatic Control
Keywords: Real-time wave elevation forecastingFree-surface elevationDeterministic sea wave forecastingTime seriesDirectional wave spectrumGaussian processesADCP
DOI: 10.1016/j.ifacol.2018.09.508
Other versions: http://ifac-cams2018.com/
Language: en
Status of Item: Peer reviewed
Conference Details: 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles, Opatija, Croatia, 10-12 September 2018
Appears in Collections:Mathematics and Statistics Research Collection
Earth Institute Research Collection

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