Observations of Turbulence, Internal Waves and Background Flows: An Inquiry into the Relationships Between Scales of Motion

Abstract

Oceanic profile data are used to examine the parameterization of turbulent dissipation due to internal waves. For observations exhibiting GM (munK 1981) internal wave characteristics, the dissipation magnitude and its functional dependence upon wave energy level and buoyancy frequency was best described by the dynamical model of Henyey et al. (1986). For non-GM wave fields, dissipations were modeled most effectively by a frequency based correction to this model. ne Richardson number scaling model of Kunze et al. (1990) produced consistent dissipation estimates. Model agreement here appears a consequence of statistical dependence between velocity shear and strain, hypothesized to be an effect of turbulent fluxes. These fluxes can effect low wavenumber spectral amplitudes only in the limit of strong stratification, low average wave-frequency and Coriolis frequency. An internally consistent picture of mixing in the ocean results: Energy is transported through the internal wave spectrum to small vertical scales where it is dissipated via shear instability processes. We find background diffusivities small and independent of depth (<10 to the -5 sq m/s); heightened wave energy in the abyss associated with topographic features or larger scale flows appears needed for internal waves to cause the 1-10 x 10 to the -4 sq m/s diffusivities generally inferred from deep ocean hydrographic data....Turbulence, Internal waves, Fine and microstructure.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA259361

Entities

People

  • Kurt L. Polzin

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Birds
  • Boundary Layer
  • Buoyancy
  • Computational Science
  • Doppler Effect
  • Fluid Dynamics
  • Isotherms
  • Measurement
  • Oceanography
  • Ridges
  • Stratified Fluids
  • Temperature Gradients
  • Topography
  • Turbulence
  • Turbulent Mixing
  • Two Dimensional
  • Wave Propagation

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference