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Neural Network Prediction of Monthly Precipitation: Application to Summer Flood Occurrence in Two Regions of Central Europe |
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| Authors: | Bodri Louise Čermák Vladimír |
| Institution: | (1) Research Group for Geophysics and Environmental Physics, Hungarian Academy of Sciences, c/o Geophysical Department, Eötvös University. Ludovika 2, 1083 Budapest, Hungary;(2) Geophysical Institute, Academy of Sciences of the Czech Republic, Czech Republic;(3) Bo ní II/1a, 141-31 Praha 4, Czech Republic |
| Abstract: | Artificial Neural Network (ANN) models were used to forecast precipitation. Three-layer back propagation ANNs were trained with actual monthly precipitation data from six Czech and four Hungarian meteorological stations for the period 1961-1998. The predicted amounts are the next month's precipitation. Both training and testing ANN results provided a good fit with the actual data and displayed high feasibility in predicting extreme precipitation. |
| Keywords: | flood precipitation neural network prediction |
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