Development of an Acoustic Vorticity Meter to Measure Shear in Ocean-Boundary Layers.

Abstract

This thesis describes the analysis and development of an acoustic vorticity meter to measure shear in ocean boundary layers over smaller measurement volumes than previously possible. A nonintrusive measurement of vorticity would filter out irrotational motion such as surface waves and currents that can swamp small scale measurements of shear. The instrument measures three axis vorticity at 0.83 and 2.45 meters below the ocean surface with measurement volumes of 0.45 meters on a side. The instrument forms a buoy that is inertially instrumented to calculate and remove buoy motion from the measurements. The instrument uses a complementary filter algorithm to estimate attitude and motion from low power, inexpensive, strapdown rate gyros, accelerometers, and fluxgate magnetometers. The instrument performance has been measured to have a vorticity bias of not more than 1 x 10(exp -2) per second in the down wave and vertical directions in typical ocean waves, and a 30 decibel spectral rejection of surface wave velocity. Two instrument deployments are described to show the potential of the system, one in the upper ocean boundary layer to measure shear and infer vertical diffusivity, and one on the thermocline to measure the Gradient Richardson number.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA307806

Entities

People

  • Fredrik T. Thwaites

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Boundary Layer
  • Buoyancy
  • Computational Fluid Dynamics
  • Fluid Mechanics
  • Inertial Measurement Units
  • Inertial Navigation Systems
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Physics Laboratories
  • Signal Processing
  • Standing Waves
  • Stratified Fluids
  • Transducers
  • Turbulence
  • Turbulent Mixing

Fields of Study

  • Environmental science

Readers

  • Coastal Oceanography
  • Fluid Dynamics.
  • Inertial Navigation Systems.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference