DIAGNOSIS OF SURFACE WEATHER CONDITIONS FROM OBSERVED AND PROGNOSTIC UPPER-AIR PARAMETERS

Abstract

Objective techniques are being developed for interpreting grid-point analyses and prognoses produced by computerized dynamical models in terms of concomitant surface-weather conditions. Multiple regression equations were derived to express statistical relationships between surface-weather variables and derived upper-air parameters representing pertinent physical processes taking place between the surface and the 500-mb level. These upper-air (predictor) parameters were derived from observed height and thickness values and the climatological statistics of these values. The work presently being conducted and plans for future work are discussed. Improvement is being sought by the definition of better predictor parameters to represent orographic effects and by the incorporation of moisture (cloud amount) information now available from dynamical models. The equations will be tested on real-time upper-air prognoses and readied for use in an operational test by the Air Weather Service by September 1965. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1965
Accession Number
AD0611584

Entities

People

  • James E. Macmonegle
  • Joseph G. Bryan
  • Russell G. Harris

Organizations

  • United Technologies Corporation

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Computer Programs
  • Computers
  • Contracts
  • Data Science
  • Equations
  • Grids
  • Information Science
  • Moisture
  • Operating Systems
  • Probability
  • Probability Distributions
  • Statistical Analysis
  • Statistics
  • System Software
  • Test And Evaluation
  • United States

Readers

  • Atmospheric Science/Meteorology
  • Regression Analysis.