Estimation of Ocean Surface Wind Speed and Direction from Polarimetric Radiometry Data

Abstract

To develop improved methodologies for estimating ocean surface wind vectors from polarimetric microwave radiometry data. To evaluate a proposed algebraic method for correcting microwave radiometry data for atmospheric effects, and for estimating the wind speed and direction from the corrected data. Various combinations of the vertically and horizontally polarized brightness temperatures have been examined, using simulations based on a two-scale model (Lyzenga, 2006), in order to determine their dependence on the atmospheric water vapor and liquid water content as well as the surface wind speed. These predictions are compared with actual WindSat data, and used to provide an indication of the wind speed that is independent of atmospheric conditions. A second set of equations is used to calculate the wind direction from the third and fourth Stokes parameters.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA527033

Entities

People

  • David R. Lyzenga

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Brightness
  • Data Sets
  • Earth Sciences
  • Engineering
  • Equations
  • Hurricanes
  • Marine Engineering
  • Microwaves
  • Models
  • Naval Architecture
  • Radiometry
  • Remote Sensing
  • Scale Models
  • Water Vapor
  • Wind
  • Wind Direction
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation