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

International Journal of Emerging Trends in Engineering Research · 05 July 2021

In one sentence. Survey of machine learning and deep learning methods for weather forecasting, covering applications, types and problems; no new model.

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.

Labels

Labels and summary are generated by Claude and reviewed weekly. Wrong? Edit this entry.