2006
DOI: 10.1016/j.ocemod.2005.09.005
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Numerical error assessment and a temporal horizon for internal waves in a hydrostatic model

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Cited by 50 publications
(52 citation statements)
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“…If the resolution is too low unphysical solitary-like waves can be simulated due to a balance between nonlinearity and numerical dispersion (Hodges et al, 2006;Vitousek and Fringer, 2011). Vitousek and Fringer (2011) considered waves propagating in a 2000 m deep domain using a stratification based on observations in the South China Sea and found that resolutions coarser than about 250 m resulted in waves that were too wide.…”
Section: Resolutionmentioning
confidence: 99%
“…If the resolution is too low unphysical solitary-like waves can be simulated due to a balance between nonlinearity and numerical dispersion (Hodges et al, 2006;Vitousek and Fringer, 2011). Vitousek and Fringer (2011) considered waves propagating in a 2000 m deep domain using a stratification based on observations in the South China Sea and found that resolutions coarser than about 250 m resulted in waves that were too wide.…”
Section: Resolutionmentioning
confidence: 99%
“…The simulation began on 28 April 2010 at 23:30 LT (local time) and ended on 15 July 2010 at 23:30 LT. All of the times used in this work refer to the local time (−3 GMT, Greenwich Mean Time). The simulation was programmed to run at efficient time steps with the Courant-Friedrichs-Lewy number fixed at 1/3 (Hodges et al, 2006). Thus, the time step was set to 150 s, which was sufficient to ensure the numerical stability of the model (Cassuli and Cattani, 1994).…”
Section: Model Setup Sensitivity Analysis and Validationmentioning
confidence: 99%
“…Furthermore, an ideal scheme would have low dissipation so that internal waves may be modelled without artificial damping (however, there are some limits; see [29] for a discussion of how numerical dissipation affects numerical diffusion). If | | = 1 then the numerical scheme is both stable and free from numerical dissipation (at the leading truncation error order).…”
Section: Overviewmentioning
confidence: 99%
“…Prior model results with = 1, though, have shown substantial dissipation of internal waves over the course of long simulations (e.g. [15,29,30]), which is likely due to a combination of (1) topographic effects, (2) long-term erosion of the pycnocline by numerical diffusion, and (3) barotropic/baroclinic interactions that extract energy from the baroclinic mode into the barotropic mode where it is quickly dissipated. The present theoretical stability results for the baroclinic forward-time method are verified with numerical modelling below.…”
Section: Baroclinic Forward-time Stabilitymentioning
confidence: 99%
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