Title :
A neural network model for rainfall estimation
Author :
McCullagh, J. ; Bluff, K. ; Ebert, E.
Author_Institution :
Dept. of Inf. Technol., Latrobe Univ., Bendigo, Australia
Abstract :
This paper investigates the use of an artificial neural network (ANN) to estimate the six hour rainfall over the south-east coast of Tasmania. ANNs are becoming increasingly prominent in many areas of weather forecasting due to their potential to capture the complex relationships between the many factors that contribute to certain weather conditions. The estimations produced by the ANNs were compared to one estimation technique and one forecasting technique used by the Bureau of Meteorology. The results confirm that ANNs have the potential for successful application to the problem of rainfall estimation
Keywords :
backpropagation; geophysics computing; neural nets; rain; weather forecasting; Bureau of Meteorology; Tasmania; artificial neural network; backpropagation; estimation technique; forecasting technique; neural network model; rainfall estimation; weather forecasting; Artificial neural networks; Atmosphere; Atmospheric modeling; Australia; Meteorology; Neural networks; Predictive models; Satellites; Temperature; Weather forecasting;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499515
