AESOP Internal Tides and Mixing

Abstract

This project, with Eric Kunze at the University of Victoria (now at APL-UW), was undertaken as part of a Departmental Research Initiative (DRI) of the Office of Naval Research (ONR) entitled AESOP (Assessing the Effectiveness of Submesoscale Ocean Parameterizations). The principal goals of AESOP were to (a) increase the understanding of ocean dynamics particularly processes that are not included or not resolved in numerical models and (b) improve forecasts of ocean conditions. Our (Girton and Kunze) component of the experiment was focused on internal tides and mixing, both in terms of constraining the dominant mechanisms supplying energy for mixing in the ocean and for the purposes of explaining tidal and internal wave velocity variance in the coastal ocean. The principal tasks of AESOP were a set of ocean observations designed to evaluate submesoscale processes (including internal tides and small-scale fronts and eddies) in a suite of models of the coastal ocean around Monterey Bay. These observations formed metrics that could be used to test the representation of the processes in the models. In addition, model studies were undertaken to study the impact of those processes on the larger-scale fields.

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Document Details

Document Type
Technical Report
Publication Date
May 04, 2012
Accession Number
ADA561696

Entities

People

  • Eric Kunze
  • James B. Girton

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aquatic Organisms
  • Birds
  • Continental Slopes
  • Frequency
  • Grids
  • Internal Waves
  • Measurement
  • Oceanography
  • Oceans
  • Physics Laboratories
  • Plane Waves
  • Ridges
  • Submarine Canyons
  • Topography
  • Turbulent Mixing
  • Underwater Acoustics
  • Wave Propagation

Fields of Study

  • Environmental science

Readers

  • Acoustical Oceanography.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Information Retrieval