Nonlinear real time prediction of ocean surface waves

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 subspac...

Full description

Saved in:
Bibliographic Details
Published in:Ocean engineering 2018-06, Vol.157, p.387-400
Main Authors: Köllisch, Nikolai, Behrendt, Jasper, Klein, Marco, Hoffmann, Norbert
Format: Article
Language:English
Subjects:
High order spectral method
Nonlinear waves
Wave prediction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. •Nonlinear wave prediction.•Real-time capable.•New determination of initial conditions for the forward simulation process in combination with a newton solver.
ISSN:0029-8018
1873-5258
DOI:10.1016/j.oceaneng.2018.03.048