WEATHER FORECASTING USING ARIMA

Abstract

Earlier forecasting was based on observing weather patterns. Latter-days weather forecasting involves a combination of computer models, observations and knowledge of tends and patterns.  This research paper aims weather forecasting using ARIMA.  Weather is a natural phenomenon. Changes in weather are unpredictable and to forecast these changes in weather we used Arima. Arima is a machine learning algorithm .Attributes like year, month, day, and other 10 pollutants have been used here. Through these attributes we are going to predict air quality of Madrid City.  Arima means Autoregressive Integrated Moving Average.  Predictions made on weather conditions help us protect our life and property as it warns us earlier itself. Forecasts regarding temperature and precipitation are crucial for agriculture.