Direct simulation and deterministic prediction of large-scale nonlinear ocean wave-field

Despite its coarse approximation of physics, the phase-averaged wave spectrum model has been the only type of tool available for ocean wave prediction in the past 60 years. With the rapid advances in sensing technology, phase-resolved nonlinear wave modeling, and high performance computing capability in recent years, the time has come to start developing a new generation tool for ocean wave prediction using direct phase-resolved simulations. The key issues in developing such a tool are: (i) proper specification of initial/boundary conditions of the nonlinear ocean wave-field; (ii) development of efficient algorithm for simulation of large-scale wave-field evolution on high performance computing platforms; (iii) modeling of nonlinear physics in ocean wave evolution such as wave-wave, wave-current, wave-bottom and wave-wind interactions. The objective of this thesis is to address (i), (ii) and part of (iii). For (i), a multi-level iterative wave reconstruction tool is developed to deter- ministically reconstruct a nonlinear ocean wave-field based on single or multiple wave probe records, using both analytic low-order Stokes solutions and High-Order-Spectral (HOS) nonlinear wave model.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Ocean Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• Wu, Guangyu, 1972-

Advisor dc:contributor.advisor

• Dick K.P. Yue.

• Ocean Engineering.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/33450

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/33450