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Impact of Vertical Mixing Parameterizations on Internal Gravity Wave Spectra in Regional Ocean Models

Ritabrata Thakur, Brian K. Arbic, Dimitris Menemenlis, Kayhan Momeni, Yulin Pan, W. R. Peltier, Joseph Skitka, Matthew H. Alford, Yuchen Ma

2022Geophysical Research Letters21 citationsDOIOpen Access PDF

Abstract

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 mission.

Topics & Concepts

Internal waveGeologyMixing (physics)WavenumberGravity waveKinetic energyVertical mixingSpectral lineGeophysicsRidgeOcean dynamicsAmplitudeGeodesyGravitational waveAtmospheric sciencesClimatologyPhysicsOcean currentOceanographyClassical mechanicsOpticsAstronomyQuantum mechanicsPaleontologyAstrophysicsOceanographic and Atmospheric ProcessesOcean Waves and Remote SensingGeology and Paleoclimatology Research
Impact of Vertical Mixing Parameterizations on Internal Gravity Wave Spectra in Regional Ocean Models | Litcius