Forecasting of rainfall using ANN, GPS and mteorological data

Abstract

Forecasting of rainfall and its variability is important for many real life applications such as hydrological cycle. Further, timely rainfall prediction for subcontinent countries is economically important because they have agro-based economy. Moreover, rainfall play huge role for many natural disasters such as landslide, flush flood etc. However, accurate prediction of rainfall in terms of timing and magnitude is still remains complex because it depends upon many parameters like water vapor, pressure, temperature, wind velocity etc. In this paper we have proposed an intelligent system to predict the rainfall for Bangalore region.