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dc.contributor.authorAthanassoulis, Agissilaos
dc.contributor.authorKyza, Irene
dc.date.accessioned2024-03-22T11:30:05Z
dc.date.available2024-03-22T11:30:05Z
dc.date.issued2024-03-22
dc.identifier300413860
dc.identifier2db92d1f-b18c-49ff-9025-5b5b5adf2024
dc.identifier85188298767
dc.identifier.citationAthanassoulis , A & Kyza , I 2024 , ' Modulation instability and convergence of the random-phase approximation for stochastic sea states ' , Water Waves . https://doi.org/10.1007/s42286-024-00089-zen
dc.identifier.issn2523-3688
dc.identifier.otherRIS: urn:62DF1309ED4BDB89A310F3F0133A07B5
dc.identifier.otherRIS: Athanassoulis2024
dc.identifier.otherORCID: /0000-0003-1749-9517/work/158122933
dc.identifier.urihttps://hdl.handle.net/10023/29549
dc.description.abstractThe nonlinear Schrödinger equation is widely used as an approximate model for the evolution in time of the water wave envelope. In the context of simulating ocean waves, initial conditions are typically generated from a measured power spectrum using the random-phase approximation, and periodized on an interval of length L. It is known that most realistic ocean waves power spectra do not exhibit modulation instability, but the most severe ones do; it is thus a natural question to ask whether the periodized random-phase approximation has the correct stability properties. In this work, we specify a random-phase approximation scaling, so that, in the limit of L→∞ ,the stability properties of the periodized problem are identical to those of the continuous power spectrum on the infinite line. Moreover, it is seen through concrete examples that using a too short computational domain can completely suppress the modulation instability.
dc.format.extent23
dc.format.extent2767453
dc.language.isoeng
dc.relation.ispartofWater Wavesen
dc.subjectStochastic sea stateen
dc.subjectRandom-phase approximationen
dc.subjectNonlinear Schrödinger equationen
dc.subjectModulation instabilityen
dc.subjectAlber equationen
dc.subjectRR-NDASen
dc.titleModulation instability and convergence of the random-phase approximation for stochastic sea statesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.identifier.doi10.1007/s42286-024-00089-z
dc.description.statusPeer revieweden


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