Forecast of Rainfall Quantity and its Variation using Environmental Features

Rainfall plays a crucial role in the lives of an ordinary man. Developing a prediction model that captures sudden fluctuations in rainfall has always been a challenging task. The paper aims at developing three models which predict monthly rainfall for all districts in Tamil Nadu, India and also drawing a district-wise comparison among them to find the best model for prediction. The models developed are District-Specific Model, Cluster-Based Model and Generic-Regression Model. The District-Specific Model trains on data from a particular district, the Cluster-Based Model groups districts based on the climatic conditions and trains on data from a particular cluster and the Generic-Regression Model trains on combined data from all the districts. The paper also aims at finding the monthly variation of rainfall across geographical regions.