Statistical Analysis of LO-LOCAT Turbulence Data for Use in the Development of Revised Gust Criteria.

Abstract

LO-LOCAT is an extensive low level turbulence program utilizing statistically representative samples of turbulence data obtained over a wide range of meteorological, topographical, seasonal, and time of day conditions. UDRI has attempted to identify which of the various meteorological and environmental conditions affect the turbulence as reflected through a number of turbulence parameters. The turbulence parameters considered were: sigma, the standard deviation of the gust velocity; b, the turbulence intensity; L, the scale of turbulence; and N(o), the characteristic frequency. The basic method of mathematical analysis was a stepwise regression scheme which related the environmental conditions to the various turbulence parameters based upon statistical priority. It is felt that the regression scheme provides a detailed outline of statistical relationships which can be used as a guide for further investigation. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1971
Accession Number
AD0731139

Entities

People

  • James K. Luers
  • John P. Ryan
  • John W. Mccloskey
  • Nicholas A. Engler

Organizations

  • University of Dayton Research Institute

Tags

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Data Science
  • Frequency
  • Information Science
  • Intensity
  • Interdisciplinary Science
  • Mathematical Analysis
  • Mathematics
  • Standards
  • Statistical Analysis
  • Statistics
  • Turbulence

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.