A Survey of Weather Forecasting based on Machine Learning and Deep Learning Techniques

Abstract

Forecast of future weather is one of the dominant concerns in today’s era. Several techniques that have been used to forecast future weather are statistical analysis, machine learning, and deep learning techniques. Forecast of weather can assist in the decision-making process for the prevention of disasters. While forecasting weekly weather can help people, decide and manage their activities and recreational programs it can also help Smart management programs. The accuracy of the Short term ambient forecast conditions is particularly conducive to the development of forecast management strategies. This paper presents an inclusive survey on such methods based on Machine Learning, and Deep Learning Techniques used to predict weather and discusses the applications, types, and problems of the forecasting.

New Weather Forecasting Applications

“…The proposed system was tested by implementing it in the Indian delta districts and the accuracy, precision and flexibility in the forecasting was evinced by the data output observed over and done with the Think speak Web. an inclusive survey and methods based on Machine Learning, and Deep Learning Techniques used to predict weather is introduced by Bhawsar [12]. Climate guesses are made by social occasion quantitative data about the current status of the environment at a given spot and utilizing meteorology to considered project to present how the climate will change.…”