Hailfinder: A Bayesian system for forecasting severe weather

Published

Journal Article

Hailfinder is a Bayesian system that combines meteorological data and models with expert judgment, based on both experience and physical understanding, to forecast severe weather in Northeastern Colorado. The system is based on a model, known as a belief network (BN), that has recently emerged as the basis of some powerful intelligent systems. Hailfinder is the first such system to apply these Bayesian models in the realm of meteorology, a field that has served as the basis of many past investigations of probabilistic forecasting. The design of Hailfinder provides a variety of insights to designers of other BN-based systems, regardless of their fields of application.

Full Text

Duke Authors

Cited Authors

  • Abramson, B; Brown, J; Edwards, W; Murphy, A; Winkler, RL

Published Date

  • January 1, 1996

Published In

Volume / Issue

  • 12 / 1

Start / End Page

  • 57 - 71

International Standard Serial Number (ISSN)

  • 0169-2070

Digital Object Identifier (DOI)

  • 10.1016/0169-2070(95)00664-8

Citation Source

  • Scopus