A Review Study of Weather Forecasting Using Artificial Neural Network Approach

Weather forecasting is important for people. It helps to make more informed daily decisions, and to keep out of danger. Accurate Weather forecasting has been one of the most challenging problems around the world. Unlike traditional methods, modern Weather forecasting involves a combination of computer models, observation (by use of balloons and satellites), and knowledge of trends and patterns (used by Local weather observers and weather stations). Using these methods, reasonably accurate forecasts can be made. Most of the computer models used for forecasting are run by forecast models based on complex formulas. Artificial Neural Network is adaptive system that changes its structure based on external or internal information that flows through the network. 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. The technical milestones, that have been achieved by various researchers in this field has been reviewed and presented in this survey paper.

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