Automated Aircraft Icing Forecast Technique.
Abstract
This project report provides a comprehensive overview of the state of the art in icing forecasting and its associated problems. It describes the attempt to automate a manual icing forecast technique. The weaknesses, software design and algorithms are discussed. Attempts to filter out what was felt to be excess areal coverage, as produced by other automated procedures, was unsuccessful. Moderating the filtering resulted in a sieve effect with no better results than forecasts already produced by other automated methods. Final examination revealed other reasons for the poor performance in the automated mode. The manual technique had the advantage of human pattern recognition which is vastly superior to the coarse mesh grid data used in this study, as well as access to frontal positions. There were some valuable lessons learned regarding theoretical limitations to skill scores and the inherent limitations of the models.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 31, 1984
- Accession Number
- ADA144853
Entities
People
- M. V. Mansur