Advanced Mesoscale Weather Forecasting to Support Tactical Operations on the Airland Battlefield. Phase 2

Abstract

This work resulted in the test and evaluation of a hybrid statistical neural net program called Goal-Oriented Pattern Detection (GOPAD) and the development of a cloud tracking program that uses weather satellite imagery as input. Both technologies show great promise to provide better weather products to the tactical military user. Pattern detection; Neural networks; Weather prediction; WX forecasting; Tactical weather.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 1990
Accession Number
ADA219421

Entities

People

  • Kenneth C. Young
  • Lee A. Atkinson
  • Marc Perrone
  • Paul D. Lampru Jr.

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognitive Science
  • Computational Science
  • Computer Programming
  • Computer Vision
  • Computers
  • Confidence Limits
  • Databases
  • Expert Systems
  • Image Processing
  • Machine Learning
  • Meteorology
  • Neural Networks
  • Probabilistic Models
  • Tactical Decision Aids
  • Test And Evaluation
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks
  • Space