High-Resolution Measurement-Based Phase-Resolved Prediction of Ocean Wavefields

Abstract

Given remote and direct physical measurements of a realistic ocean wavefield, obtain a high-resolution description of the wavefield by integrating the measurements with phase-resolved wave prediction model including realistic environmental effects such as wind forcing and wave breaking dissipation. Inform and guide the measurements necessary for achieving this reconstruction and address the validity, accuracy and limitations of such wavefield reconstructions. The specific scientific and technical objectives are to obtain: 1. Development of a phase-resolved, deterministic prediction capability for nonlinear wavefield reconstruction and evolution at intermediate scale (O(1) ~ O(10)km per dimension) using ship-mounted radar wave measurements 2. Incorporation and evaluation of physics-based wind-forcing and wave-breaking models that are developed/calibrated/validated based on simulations and measurements 3. Characterization and quantification of uncertainty and incompleteness in wave sensing and sensed data 4. Direct comparison between quantitative (point and area) field measurements and phase-resolved wavefield reconstruction and forecasting 5. Development of a theoretical/computational framework for guiding the deployment of wave sensing systems and data interpretation.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2012
Accession Number
ADA590520

Entities

People

  • Dick K P Yue
  • Yuming Liu

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Delphi Method
  • Electrical Solitons
  • Engineering
  • High Resolution
  • Information Operations
  • Low Pass Filters
  • Measurement
  • Mechanical Engineering
  • Ocean Environments
  • Ocean Waves
  • Oceans
  • Simulations
  • Statistics
  • Wave Propagation
  • Waves

Fields of Study

  • Environmental science
  • Physics

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.