Multi-Scale Model-Driven Sampling with Autonomous Systems at a National Littoral Laboratory: Turbulence Characterization from an AUV

Abstract

My long term goal is to utilize turbulence measurements obtained from small Autonomous Underwater Vehicle (AUV) based sensors as the subgrid characterization tool in combined coastal ocean observation/ prediction networks. I wish to use AUV-based turbulence measurements to quantify mixing in shallow water physical process studies (upwelling regions, fronts. boundary layers) within the context of the LEO-15 based National Ocean Partnership Program (NOPP) coupled ocean observation/modeling system This includes estimating mixing levels, identifying regions of enhanced mixing, determining the horizontal spatial scale of mixing events, defining the role of boundary layers, and parameterizing results for coastal predictive model testing studies of subgrid scale processes.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1998
Accession Number
ADA569032

Entities

People

  • Edward R. Levine

Organizations

  • Naval Undersea Warfare Center

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Boundaries
  • Boundary Layer
  • Continental Shelves
  • Data Analysis
  • Layers
  • Measurement
  • Models
  • Multiscale Models
  • Observation
  • Sampling
  • Scale Models
  • Turbulence
  • Underwater Vehicles
  • Unmanned Underwater Vehicles
  • Vehicles

Fields of Study

  • Environmental science

Readers

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

Technology Areas

  • Autonomy