Development, Test and Evaluation of an Automated Present Weather Observing System.

Abstract

A need exists for an Automated Present Weather Sensor (APWOS) for use at unmanned weather stations, or stations that are not manned on a round-the-clock basis. An APWOS has been developed by HSS Inc which utilizes a microprocessor to expand the measurement capabilities of a Model VR-301 Visibility Meter. The VR-301 is a forward-scatter nephelometer with a sample volume of 400 cu. cm. The size and velocity of each particle of precipitation passing through the sample volume is measured and stored in a precipitation recognition matrix which has 20 size increments and 16 velocity inrcrements. The various types of precipitation (rain, snow, drizzle, hail, etc.) are identified by pattern recognition algorithms based on the size/velocity distribution of particles. Amount of precipitation is determined from the size and number of particles passing through the sample volume in the sample time interval. The APWOS is 10 times more sensitive than a tipping bucket rain gauge, and a linear response to rain-rates up to 6 inches per hour has been demonstrated. The measuring precision is 0.001 in/hr for rain and 0.0001 in/hr for snow. Current algorithms identify rain as rain 98.8% of the time and snow as snow 92./4% of the time in the ambiguous temperature between 23 F. and 41 F. The APWOS also measures visual range and can determine the presence of fog during any form of precipitation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 1986
Accession Number
ADA172329

Entities

People

  • D. F. Hansen
  • W. K. Shubert

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Atmospheric Sciences
  • Computer Programs
  • Detection
  • Detectors
  • False Alarms
  • Identification
  • Light Sources
  • Measurement
  • Meteorology
  • Particle Size
  • Particles
  • Rain Gages
  • Recognition
  • Test And Evaluation
  • Test Facilities

Fields of Study

  • Environmental science

Readers

  • Aerosol Science/Aerosol Physics
  • Atmospheric Science/Meteorology
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Technology Areas

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