Inferring Atmospheric Turbulence Structure Using Synthetic Aperture Radar Images of the Ocean Surface

Abstract

My long-term goal is to learn how to remotely sense the properties of the marine atmospheric boundary layer, including mean wind speed and direction, the depth of the boundary layer, and the spatial distribution of atmospheric turbulence, using at least synthetic aperture radar (SAR).

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA627588

Entities

People

  • Pierre D. Mourad

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Atmospheric Motion
  • Atmospheric Temperature
  • Boundaries
  • Boundary Layer
  • Data Analysis
  • Images
  • Layers
  • Meteorological Phenomena
  • Physics
  • Physics Laboratories
  • Radar
  • Radar Images
  • Spatial Distribution
  • Synthetic Aperture Radar
  • Turbulence
  • Wind
  • Wind Velocity

Fields of Study

  • Environmental science
  • Physics

Readers

  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML