A framework for seamless one-way nesting of internal wave-resolving ocean models

Justin S. Rogers, Matthew D. Rayson, Dong S. Ko, Kraig B. Winters, Oliver B. Fringer

Research output: Contribution to journalArticle

Abstract

To resolve nonlinear internal wave motions in regional domains, we propose a one-way ocean model nesting framework in which a nonhydrostatic model is nested within a regional model. The nesting scheme produces internal tides that propagate freely into and out of the nonhydrostatic model domain with no reflections while nudging the low-frequency motions. We demonstrate the method with idealized test cases and a field-scale simulation of the South China Sea. The method relies on four parameters, the time scale of low-pass filtering, the time scale of low frequency forcing, the time scale of sponge damping and the width of the sponge damping layer. We present guidelines for selecting these four parameters based on the background stratification. The internal tides from the large-scale model steepen through nonlinear and nonhydrostatic effects and reasonably match observations at a fraction of the computational cost needed with a single uncoupled model. The model critically relies on the background stratification inherited from the large-scale model, which in this case leads to an underpredicted phase speed and amplitude in the nested model result. This highlights the need for large-scale ocean models to incorporate observational stratification data, especially in the ocean interior.

Original languageEnglish
Article number101462
JournalOcean Modelling
Volume143
DOIs
Publication statusPublished - 1 Nov 2019

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internal wave
ocean
internal tide
stratification
Tides
timescale
sponge
damping
Damping
nonlinear wave

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Rogers, Justin S. ; Rayson, Matthew D. ; Ko, Dong S. ; Winters, Kraig B. ; Fringer, Oliver B. / A framework for seamless one-way nesting of internal wave-resolving ocean models. In: Ocean Modelling. 2019 ; Vol. 143.
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A framework for seamless one-way nesting of internal wave-resolving ocean models. / Rogers, Justin S.; Rayson, Matthew D.; Ko, Dong S.; Winters, Kraig B.; Fringer, Oliver B.

In: Ocean Modelling, Vol. 143, 101462, 01.11.2019.

Research output: Contribution to journalArticle

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