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Titel Physical vs. Numerical Dispersion in Nonhydrostatic Ocean Modeling
VerfasserIn Sean Vitousek, Oliver Fringer
Konferenz EGU General Assembly 2011
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 13 (2011)
Datensatznummer 250045760
 
Zusammenfassung
Many large-scale simulations of internal waves are computed with ocean models solving the primitive (hydrostatic) equations. Internal waves, however, represent a dynamical balance between nonlinearity and nonhydrostasy (dispersion), and thus may require computationally expensive nonhydrostatic simulations to be well-resolved. Most discretizations of the primitive equations are second-order accurate, inducing numerical dispersion generated from odd-order terms in the truncation error (3rd-order derivatives and higher). This numerical dispersion mimics physical dispersion due to nonhydrostasy. In this paper, we determine the numerical dispersion coefficient associated with common discretizations of the primitive equations. Comparing this coefficient with the physical dispersion coefficient from the Boussinesq equations, we find that, to lowest order, the ratio of numerical to physical dispersion is Γ = Kλ2, where K is an O(1) constant dependent on the discretization of the governing equations and λ is the grid leptic ratio, λ -‰¡ Δx-ˆ•h1, where Δx is the horizontal grid spacing and h1 is the depth of the internal interface. In addition to deriving this relationship, we verify that it indeed holds in a nonhydrostatic ocean model (SUNTANS). To ensure relative dominance of physical over numerical effects, simulations require Γ -‰ª 1. Based on this condition, the horizontal grid spacing required for proper resolution of nonhydrostatic effects is λ < O(1) or Δx < h1. When this condition is not satisfied, numerical dispersion overwhelms physical dispersion, and modeled internal waves exist with a dynamical balance between nonlinearity and numerical dispersion. Satisfaction of this condition may be a significant additional resolution requirement beyond the current state-of-the-art in ocean modeling.