SPECTRAL AND EXCEEDANCE PROBABILITY MODELS OF ATMOSPHERIC TURBULENCE FOR USE IN AIRCRAFT DESIGN AND OPERATION

Abstract

Atmospheric turbulence data in many forms, from many sources, have been combined in both spectral and exceedance probability models of the vertical component of atmospheric turbulence. These models will be useful in aircraft structural design procedures as well as in other analytical procedures involving aircraft operation. For the spectral probability model, a simple analytical form for the spectrum is chosen which fits well the available measured spectra. The parameters of the spectrum are related to physical and meteorological factors in tabular and graphical form, and probability distributions of the pertinent meteorological parameters have been obtained from climatological data. The resulting probability distributions of the spectral parameters have been computed. A normalized exceedance model is developed that represents the overall cumulative probability distribution of the vertical turbulence velocity for the special probability density function of the rms vertical gust velocity recommended in NACA TN 4332. The basic model involves one parameter, altitude, but may be modified, by using correction factors that are also developed, to account for varying terrain roughness, nature of the terrain, season, time of day and geographical location. These models of the vertical component of atmospheric turbulence represent what should be an improvement over previous models because of the significant amount of data which has become available in recent years.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1965
Accession Number
AD0483258

Entities

People

  • Calvin C. Easterbrook
  • Francis E. Pritchard
  • George E. Mcvehil

Organizations

  • Calspan

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Airframes
  • Airplanes
  • Altitude
  • Atmospheric Motion
  • Boundary Layer
  • Clear Air Turbulence
  • Computational Fluid Dynamics
  • Computational Science
  • Environment
  • Information Science
  • Lapse Rate
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Turbulence
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Computational Modeling and Simulation