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Nonlinear dynamics of wave-groups in random seas: unexpected walls of water in the open ocean

Abstract:
This paper investigates the size and structure of large waves on the open ocean. We investigate how nonlinear physics modifies waves relative to those predicted by a linear model. We run linear random simulations and extract extreme waves and the surrounding sea-state. For each extreme event, we propagate the waves back in time under linear evolution before propagating the wave-field forward using a nonlinear model. The differences between large linear and nonlinear wave-groups are then examined. The general trends are that under nonlinear evolution, relative to linear evolution, there is, on average, little or no extra amplitude in the nonlinear simulations; that there is an increase in the width of the crest of the wave-group and a contraction of large wave-groups in the mean wave direction; that large waves tend to move to the front of a wave-packet meaning that the locally largest wave is relatively bigger than the wave preceding it; and that nonlinearity can increase the duration of extreme wave events. In all these trends, there is considerable scatter, although the effects observed are clear. Our simulations show that nonlinearity does play an important part in the formation of extreme waves on deep water.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1098/rspa.2015.0660

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
Royal Society
Journal:
Proceedings of the Royal Society of London: Mathematical, Physical and Engineering Sciences More from this journal
Volume:
471
Issue:
2184
Article number:
20150660
Publication date:
2015-12-08
Acceptance date:
2015-11-03
DOI:
ISSN:
1471-2946


Language:
English
Keywords:
Pubs id:
pubs:571980
UUID:
uuid:06fd0a84-5201-48e3-a260-3c9c241ab622
Local pid:
pubs:571980
Source identifiers:
571980
Deposit date:
2015-11-03
ARK identifier:

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