A Direct Simulation-Based Study of Radiance in a Dynamic Ocean

Abstract

The ultimate goal is to develop direct simulation/physics-based forward and inverse capabilities for radiance prediction in a dynamic ocean environment. This direct simulation-based model will include and integrate all of the relevant dynamical processes in the upper ocean surface boundary layer into a physics-based computational prediction capability for the time-dependent radiative transport. Objectives: To include and integrate relevant dynamical processes in the upper ocean surface boundary layer (SBL) into a physics-based computational prediction and inverse capability for the time-dependent radiative transport: * Develop direct simulation of upper ocean hydrodynamic processes and forward prediction of radiative transfer * Obtain understanding, modeling and parameterizations of dependencies of oceanic radiance on the surface wave environment * Provide guidance for field measurements and obtain cross validations and calibrations with direct simulations and modeling * Provide a framework for inverse modeling and reconstruction of ocean surface and above water features based on sensed underwater radiance data To reach these objectives, we had and would continue to have a close collaboration with Professor Lian Shen of the Johns Hopkins University (JHU) on the modeling of free surface turbulence roughness.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA516696

Entities

People

  • Dick K P Yue
  • Yuming Liu

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Boundaries
  • Boundary Layer
  • Capillary Waves
  • Electrical Solitons
  • Gravity Waves
  • Layers
  • Measurement
  • Navier Stokes Equations
  • Ocean Environments
  • Oceans
  • Radiance
  • Radiative Transfer
  • Scattering
  • Simulations
  • Surface Waves
  • Three Dimensional
  • Waves

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Atmospheric Remote Sensing.
  • Computational Fluid Dynamics (CFD)