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Impact of vertical mixing parameterizations on internal gravity wave spectra in regional ocean models
  • +6
  • Ritabrata Thakur,
  • Brian K. Arbic,
  • Dimitris Menemenlis,
  • Kayhan Momeni,
  • Yulin Pan,
  • W Richard Peltier,
  • Joseph Skitka,
  • Matthew H Alford,
  • Yuchen Ma
Ritabrata Thakur
University of Michigan Ann Arbor, University of Michigan Ann Arbor

Corresponding Author:[email protected]

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Brian K. Arbic
University of Michigan-Ann Arbor, University of Michigan-Ann Arbor
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Dimitris Menemenlis
Jet Propulsion Laboratory, California Institute of Technology, Jet Propulsion Laboratory, California Institute of Technology
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Kayhan Momeni
University of Toronto, University of Toronto
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Yulin Pan
University of Michigan Ann Arbor, University of Michigan Ann Arbor
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W Richard Peltier
Department of Physics, University of Toronto, Department of Physics, University of Toronto
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Joseph Skitka
University of Michigan Ann Arbor, University of Michigan Ann Arbor
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Matthew H Alford
Scripps Institution of Oceanography, Scripps Institution of Oceanography
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Yuchen Ma
University of Toronto, University of Toronto
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Abstract

We present improvements in the modeling of the vertical wavenumber spectrum of the internal gravity wave continuum in high-resolution regional ocean simulations. We focus on model sensitivities to mixing parameters and comparisons to McLane moored profiler observations in a Pacific region near the Hawaiian Ridge, which features strong semidiurnal tidal beams. In these simulations, the modeled continuum exhibits high sensitivity to the background mixing components of the K-Profile Parameterization (KPP) vertical mixing scheme. Without the KPP background mixing, stronger vertical gradients in velocity are sustained in the simulations and the modeled kinetic energy and shear spectral slopes are significantly closer to the observations. The improved representation of internal wave dynamics in these simulations makes them suitable for improving ocean mixing estimates and for the interpretation of satellite missions such as the Surface Water and Ocean Topography (SWOT) mission.