Comparative study of different weather forecasting models

Nowadays, Analysis of atmosphere conditions has become a vital process; where in prediction of state weather for a future time is made based on location. To improve the performance of system, collection of data related to current state of the atmosphere is important. Further using the understanding of atmospheric processes, determine or predict the atmosphere of future by applying ML techniques. The paper discusses application suitable Data Mining techniques, Regression approaches and Artificial Neural Network models to predict weather parameters. A study further ends by comparing different techniques for weather forecasting. The main moto of this study is to compare and identify a precise weather forecasting model. Weather prediction will be effective if, Input Data of years is taken instead of just 2–3 days. Thus, if we train the system by considering huge data the performance will be more effective - “Better the training, better the result”.