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Nonlinear real time prediction of ocean surface waves

Publikationstyp
Journal Article
Date Issued
2018-06-01
Sprache
English
Author(s)
Köllisch, Nikolai  
Behrendt, Jasper  
Klein, Marco  orcid-logo
Hoffmann, Norbert  orcid-logo
Institut
Strukturdynamik M-14  
TORE-URI
http://hdl.handle.net/11420/2583
Journal
Ocean engineering  
Volume
157
Start Page
387
End Page
400
Citation
Ocean Engineering (157): 387-400 (2018-06-01)
Publisher DOI
10.1016/j.oceaneng.2018.03.048
Scopus ID
2-s2.0-85044617432
A highly efficient numerical procedure for the computer based prediction of nonlinear deep water ocean surface waves is presented. To reconstruct consistent initial conditions from measured surface elevation data, the approach employs a combination of a high order spectral method with Krylov subspace techniques. Aiming at prediction horizons of a few minutes, the method allows real-time prediction of sea states for domains of several square kilometres. Taking the nonlinearity of the wave evolution equations into account leads to a substantial increase in accuracy of the prediction at only moderate additional cost.
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