Computational Models for the Prediction of Rainfall in Chennai, India

Abstract

Weather forecasting is a daunting challenge the world faces nowadays. Rainfall prediction is especially vital for agricultural and meteorological departments and is one of the most challenging tasks. Many researchers have contributed to rainfall prediction using methods ranging from statistical models to computational models.The computational model K-nearest Neighbour Technique (KNN) has been used to predict Chennai Rainfall for various data transformations in the study. Comparison and analysis was made using the error measure MAPE.