Artificial Neural Networks in Weather Forecasting -A Review

Abstract

Weather forecasting and its importance has increased manifold in last few decades. It has become part of daily life as it makes planned and informed daily decisions easier and avoid probable weather uncertainty. Accurate Weather forecasting, a challenging profession, as uncertainty level associated with the weather varies due to various seen and unseen parameters. These days weather prediction has modernized along with new technologies, modern approaches involve model-based-forecast based on multiple sources of past data, observations and information. With growing technologies, Artificial Neural Network (ANN) has gained a huge importance in forecasting field due to its adaptive and flexible approaches. ANN has led to many weather forecasting techniques with significant results. This paper provides a survey of various neural network methodologies, approaches and architectures used by various researchers for weather forecasting. The paper also includes discussion about the ANN techniques frequently used in weather forecasting research.