Development of Low-Level Turbulence (LLT) Forecasting Methodologies

Abstract

A study has been carried out to investigate the improvement of low- level turbulence (LLT) forecasting. The literature review documents the current forecast problem as one of scale, that is, large-scale data are used to predict a small-scale phenomena. Although the current forecast procedures are objective at the level of the weather Central, the methods are simplistic and there is a high degree of subjectivity when the forecast is adapted to the local area. It was determined that significant improvements in forecasts can be made in the near future by improving local observations, communications, and developing compute based objective forecasting techniques. Finally, the LLT problem at Fort Irwin is documented and objective procedures are developed to improve LLT forecasts. Keywords: Turbulence; Boundary layer; Forecasting.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA208457

Entities

People

  • Mark W. Burton
  • Peter F. Lester

Organizations

  • Battelle Memorial Institute

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Atmospheric Motion
  • Atmospheric Sciences
  • Boundary Layer
  • Computational Fluid Dynamics
  • Computers
  • Environment
  • Froude Number
  • Geography
  • Literature Surveys
  • Mathematical Models
  • Measurement
  • Meteorology
  • Turbulence
  • Weather Forecasting

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Systems Analysis and Design