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Nonlinear deterministic reconstruction and prediction of remotely measured ocean surface waves

Desmars, Nicolas and Hartmann, Moritz and Klein, Marco (2023) Nonlinear deterministic reconstruction and prediction of remotely measured ocean surface waves. Journal of Fluid Mechanics, 975, A8-1. Cambridge University Press. doi: 10.1017/jfm.2023.841. ISSN 0022-1120.

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Official URL: https://www.cambridge.org/core/journals/journal-of-fluid-mechanics/article/nonlinear-deterministic-reconstruction-and-prediction-of-remotely-measured-ocean-surface-waves/0D492ABAE4B99782612F5CE4AC890B6D

Abstract

Algorithms for reconstructing and predicting nonlinear ocean wave fields from remote measurements are presented. Three types of synthetic observations are used to quantify the influence of remote measurement modulation mechanisms on the algorithms’ performance. First, the observations correspond to randomly distributed surface elevations. Then, they are related to a marine radar model – the second type takes the wave shadowing modulation into account whereas the third one also includes the tilt modulation. The observations are numerically generated based on unidirectional waves of various steepness values. Linear and weakly nonlinear prediction algorithms based on analytical models are considered, as well as a highly nonlinear algorithm relying on the high-order spectral (HOS) method. Reconstructing surfaces from shadowed observations is found to have an impact limited to the non-visible regions, while tilt modulation affects the reconstruction more generally due to the indirect, more complex extraction of wave information. It is shown that the accuracy of the surface reconstruction mainly depends on the correct modelling of the wave shape nonlinearities. Modelling the nonlinear correction of the dispersion relation, in particular the frequency-dependent wave phase effects in the case of irregular waves, substantially improves the prediction. The suitability of the algorithms for severe wave conditions in finite depth and using non-perfect observations is assessed through wave tank experiments. It shows that only the third-order HOS solution predicts the right amplitude and phase of an emerging extreme wave, emphasizing the relevance of the corresponding physical modelling.

Item URL in elib:https://elib.dlr.de/199059/
Document Type:Article
Title:Nonlinear deterministic reconstruction and prediction of remotely measured ocean surface waves
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Desmars, NicolasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hartmann, MoritzUNSPECIFIEDhttps://orcid.org/0000-0001-7282-0399UNSPECIFIED
Klein, MarcoUNSPECIFIEDhttps://orcid.org/0000-0003-2867-7534146371777
Date:10 November 2023
Journal or Publication Title:Journal of Fluid Mechanics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:975
DOI:10.1017/jfm.2023.841
Page Range:A8-1
Editors:
EditorsEmailEditor's ORCID iDORCID Put Code
Desmars, NicolasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hartmann, MoritzUNSPECIFIEDhttps://orcid.org/0000-0001-7282-0399UNSPECIFIED
Behrendt, JasperUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hoffmann, NorbertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Klein, MarcoUNSPECIFIEDhttps://orcid.org/0000-0003-2867-7534146371777
Publisher:Cambridge University Press
ISSN:0022-1120
Status:Published
Keywords:nonlinear waves, radar-based wave reconstruction, wave prediction
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Geesthacht
Institutes and Institutions:Institute of Maritime Energy Systems
Deposited By: Klein, Marco
Deposited On:10 Nov 2023 13:42
Last Modified:26 Mar 2024 12:53

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