Hailfinder: A Bayesian system for forecasting severe weather

被引:129
作者
Abramson, B
Brown, J
Edwards, W
Murphy, A
Winkler, RL
机构
[1] CARNEGIE MELLON UNIV,DEPT ENGN & PUBL POLICY,PITTSBURGH,PA 15213
[2] NOAA,FORECAST SYST LAB,BOULDER,CO 80303
[3] WISE DECIS INC,STUDIO CITY,CA 91604
[4] UNIV SO CALIF,SOCIAL SCI RES INST,LOS ANGELES,CA
[5] PREDICT & EVALUAT SYST,CORVALLIS,OR 97330
[6] DUKE UNIV,FUQUA SCH BUSINESS,DURHAM,NC 27708
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
Bayesian; belief networks; meteorology; system design; weather forecasting; intelligent systems; elicitation;
D O I
10.1016/0169-2070(95)00664-8
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:57 / 71
页数:15
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