Diapycnal Advection by Double Diffusion and Turbulence in the Ocean

Abstract

The role of double-diffusive mixing in the North Atlantic thermocline is considered. Mixing observations are analyzed in terms of the stability parameters for shear and double-diffusive convection, and a nondimensional ratio of dissipation rates. While the model for turbulence describes most dissipation occurring in high shear, dissipation in low shear is better described by the salt-finger model, and a method for estimating the salt-finger enhancement of the diapycnal haline diffusivity over the thermal diffusivity is proposed. These calculations suggest that salt-finger driven haline flux drives diapycnal downwelling in the upper thermocline. The role of turbulence occurring above rough bathymetry in the abyssal Brazil Basin is also considered. The mixing levels along sloping bathymetry exceed the levels observed on ridge crests and canyon floors. Additionally, mixing levels modulated in phase with the spring-neap tidal cycle. A model of the dissipation rate is derived and used to specify the turbulent mixing rate and constrain the diapycnal advection in an inverse model for the steady circulation. The inverse model solution reveals the presence of a secondary circulation with zonal character. These results suggest that mixing in abyssal canyons plays an important role in the mass budget of Antarctic Bottom Water.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA376654

Entities

People

  • Louis St. Laurent

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Boundary Layer
  • Buoyancy
  • Computational Fluid Dynamics
  • Computational Science
  • Data Science
  • Energy Transfer
  • Grids
  • Information Science
  • Oceanography
  • Oceans
  • Physics Laboratories
  • Ridges
  • Sea Water
  • Stratified Fluids
  • Surveys
  • Topography
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Fluid Dynamics.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers