Estimation of Vertical Wind Shear from Infrared and Microwave Radiances.

Abstract

Linear regression estimates of radiosonde observed vertical wind shears between mandatory levels were made, using radiance gradients obtained via the TIROS-N satellite as predictors in a pilot experiment based on about 200-500 observations. The best results were obtained for shears between 850 mb and a level in the upper troposphere, such as 300 mb. Results were similar for 850-400 or 850-200 mb shears, but notably inferior for 850-500 mb shears. The linear correlation coefficients between estimated and smoothed observed components of shear was about 0.70, corresponding to about 50 percent explained variance in independent test samples. Somewhat higher explained variances (about 0.60) were achieved in a limited trial where the data-set was stratified according to subjectively-judged trajectory curvature. Estimates of the wind itself in the upper troposphere were nearly as skillful as the best shear results. Overall, with the possible exception of curvature-stratified estimates in clear regions, both wind and wind shear estimates are not likely to be superior to methods that generate RMS wind errors of order 5m/s. Most of the information was contributed by the linear combination of microwave channel 2 minus microwave channel 3. Some additional information may be obtainable from the infrared (HIRS-2) channels 3, 4 and 5 (especially 5). (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA100439

Entities

People

  • Anthony Cavalier
  • Frederick Gadomski
  • Hans A. Panofsky
  • John J. Cahir

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Data Analysis
  • Data Sets
  • Databases
  • Equations
  • Geography
  • Grids
  • Information Science
  • Measurement
  • Meteorology
  • Plastic Explosives
  • Regression Analysis
  • Research Facilities
  • Statistical Analysis
  • Temperature Gradients
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Regression Analysis.

Technology Areas

  • Space