Application of the SRI Automatic Cloud-Tracking System to SMS-GOES Data.

Abstract

The SRI automatic cloud-tracking system is being implemented at the present time on the SPADS MINICOMPUTER SYSTEM OF THE Naval Environmental Prediction Research Facility at Monterey. This report gives background information concerning the system and describes recent improvements. The clustering process, which identifies groups potentially suitable for tracking, has been simplified and improved using a new algorithm for touching groups. Also, the criteria have been made more accurate for pairing groups at two different times to determine cloud displacements. Some current tests of the method (carried out at SRI using a CDC-6400 computer) are described. These tests used SMS-GOES data in both visible and infrared channels for several different types of clouds. In terms of the accuracy and number of cloud-motion vectors obtained, the results are considerably superior to any achieved previously using automatic methods. Our experience indicates that the system can process satellite data routinely to obtain cloud-motion vectors for input to numerical weather-prediction models. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 30, 1977
Accession Number
ADA053619

Entities

People

  • Daniel E. Wolf
  • David J. Hall
  • Roy M. Endlich

Organizations

  • SRI International

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Satellites
  • Automatic Tracking
  • Behavioral Sciences
  • Cirrus Clouds
  • Computations
  • Computer Programs
  • Computers
  • Convergence Zones (Sonar)
  • Cumulus Clouds
  • Display Systems
  • Equations
  • Geosynchronous Satellites
  • Pattern Recognition
  • Research Facilities
  • Weather Forecasting

Readers

  • Atmospheric Science/Meteorology
  • Computer Science.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Space Objects