Accession Number:

ADA222659

Title:

Evaluation of Correlations between Meteorological Measurements and Observations of Lightning Activity Using Artificial Neural Systems

Descriptive Note:

Final rept. 18 Jan 1989-29 Dec 1989,

Corporate Author:

KTAADN INC NEWTON MA

Report Date:

1989-12-29

Pagination or Media Count:

35.0

Abstract:

This report shows the feasibility of using artificial neural systems ANS for making predictions of cloud to ground lightning strikes. ANS designs offer some potentially useful features. ANS predictors can be incrementally trained for new levels of performance without starting programming from scratch each time the predictor is upgraded. Incremental training could proceed in the field reducing costs and delays of modifications while improving predictor accuracy by tailoring it to site conditions i.e. topography, etc. Trained ANs provides a ready-made formula for constructing fast parallel, distributed processors. The features built up within the ANS might be analyzed for clues to the physical processes underlying the partially understood phenomenon of lightning. Comparisons are made of the performance of an ANS predictor with the state-of-the-art lightning prediction using a wind convergence based criterion described by Watson et al, 1987. jes

Subject Categories:

  • Atmospheric Physics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE