Calculating Low-Atmosphere Profile and Turbulence Information from Meteorological Sensors Fitted to Battlefield Robotics Systems

Abstract

This report describes a new data analysis and interpretation algorithm developed for a precision meteorological sensor that has been fitted to one of the Army Research Laboratory's (ARL) prototype robotics vehicles. The new algorithm provides low-atmosphere profile and turbulence information from the retrieval and analysis of wind speeds, wind directions, air pressure, and temperatures (1 Hz data). The algorithm is at first formulated for data collected over flat terrain at some low reference height above ground. We calculate the small interval (<- 4.5 minute) averages and standard deviations for the wind and temperature fields and apply a simple log-law model to extrapolate wind velocity profile information upward through the sensor. Thus we initiate a coupling of meteorology to robotics for future military applications.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA402588

Entities

People

  • Arnold D. Tunick
  • Robert Winkler
  • Stuart Young

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Air Pressure
  • Air Temperature
  • Algorithms
  • Anemometers
  • Atmospheres
  • Boundary Layer
  • Computers
  • Data Analysis
  • Information Science
  • Meteorology
  • Military Applications
  • Military Research
  • Standards
  • Turbulence
  • Wind
  • Wind Direction
  • Wind Velocity

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Fluid Dynamics.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy