Literature DB >> 26172815

Unsteady evolution of localized unidirectional deep-water wave groups.

Will Cousins1, Themistoklis P Sapsis1.   

Abstract

We study the evolution of localized wave groups in unidirectional water wave envelope equations [the nonlinear Schrödinger (NLSE) and the modified NLSE (MNLSE)]. These localizations of energy can lead to disastrous extreme responses (rogue waves). We analytically quantify the role of such spatial localization, introducing a technique to reduce the underlying partial differential equation dynamics to a simple ordinary differential equation for the wave packet amplitude. We use this reduced model to show how the scale-invariant symmetries of the NLSE break down when the additional terms in the MNLSE are included, inducing a critical scale for the occurrence of extreme waves.

Entities:  

Year:  2015        PMID: 26172815     DOI: 10.1103/PhysRevE.91.063204

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  5 in total

Review 1.  New perspectives for the prediction and statistical quantification of extreme events in high-dimensional dynamical systems.

Authors:  Themistoklis P Sapsis
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-08-28       Impact factor: 4.226

2.  A minimization principle for the description of modes associated with finite-time instabilities.

Authors:  H Babaee; T P Sapsis
Journal:  Proc Math Phys Eng Sci       Date:  2016-02       Impact factor: 2.704

3.  Rogue waves and large deviations in deep sea.

Authors:  Giovanni Dematteis; Tobias Grafke; Eric Vanden-Eijnden
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-16       Impact factor: 11.205

4.  Sequential sampling strategy for extreme event statistics in nonlinear dynamical systems.

Authors:  Mustafa A Mohamad; Themistoklis P Sapsis
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-16       Impact factor: 11.205

5.  Using machine learning to predict extreme events in complex systems.

Authors:  Di Qi; Andrew J Majda
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

  5 in total

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