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Adaptive Haar wavelets for the angular discretisation of spectral wave models

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Author(s)

  • Alexandros Adam
  • Andrew G. Buchan
  • Matthew D. Piggott
  • Christopher C. Pain
  • Jon Hill
  • Mark A. Goffin

Department/unit(s)

Publication details

JournalJournal of Computational Physics
DateAccepted/In press - 26 Oct 2015
DateE-pub ahead of print - 2 Nov 2015
DatePublished (current) - 15 Jan 2016
Volume305
Number of pages18
Pages (from-to)521-538
Early online date2/11/15
Original languageEnglish

Abstract

A new framework for applying anisotropic angular adaptivity in spectral wave modelling is presented. The angular dimension of the action balance equation is discretised with the use of Haar wavelets, hierarchical piecewise-constant basis functions with compact support, and an adaptive methodology for anisotropically adjusting the resolution of the angular mesh is proposed. This work allows a reduction of computational effort in spectral wave modelling, through a reduction in the degrees of freedom required for a given accuracy, with an automated procedure and minimal cost.

Bibliographical note

© 2015, The Authors.

    Research areas

  • Action balance equation, Adaptivity, Angular adaptivity, Haar wavelets, Spectral wave modelling

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