Hurricane tracking via backpropagation neural network

A backpropagation neural network is trained using meteorological data for the North Atlantic Ocean Basin. The resulting network is utilized to predict future tracks of hurricanes six hours in advance. Comparison with historical tracking data supplied by the National Oceanic and Atmospheric Administration shows surprisingly good agreement between prediction and actual tracks. The methodology appears quite promising for this vital task.