Neural Network based Weather Forecasting Model

Weather forecasting is one of the applications of data mining technology to predict the state of atmosphere for a future time and a given location as regards heat, cloudiness, dryness, wind, rain, etc. Weather forecasting has become an important field of research in the last few decades. Weather prediction approaches are challenged by complex weather phenomena with limited observations and past data. Weather phenomena have many parameters that are impossible to enumerate and measure. Artificial neural networks (ANNs) have been applied extensively to both regress and classify weather phenomena. This paper presents the review of Weather Forecasting using Artificial Neural Network (ANN) and studies the benefit of using it. The paper provides a survey of available literatures of some methodologies employed by different researchers to utilize ANN for Weather Forecasting. Prediction of weather must be accurate and also the weather should be forecasted earlier will be helpful for many applications like agriculture, air traffic, military and so on.