This paper presents a new approach using an Artificial Neural Network technique to improve rainfall forecast performance. A real world case study was observed in Chennai for 32 years of monthly mean data with meteorological parameters such as wind speed, mean temperature, relative humidity, aerosol values (RSPM) in the area were used to develop the ANN model .In order to forecast rainfall in Chennai City, Back Propagation Neural Networks (BPNNs), a data driven technique based on the working principle of biological neurons are applied in this study. The mean monthly rainfall is predicted by using ANN model. The model can perform well both in training and independent periods.
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