Weather Forecasting using Machine Learning
Amar Deep Gupta, Devansh Katoch, Smita Sharma, Shipra Ravi Kumar, Aditya Rana
Abstract
Weather forecasting is a critical task that requires an accurate and reliable method. The goal of weather forecasting is to foresee future changes to the atmosphere. Ground-based observations, ship-based observations, airborne observations, radio signals, Doppler radar, and satellite data are all employed to ascertain the present atmospheric conditions. In recent years, machine learning (ML) techniques have shown great potential in Data analysis, including weather prediction. Through this paper, we represent a comprehensive evaluation of the modern techniques for weather forecasting using machine learning. We also propose a new approach that combines multiple ML techniques to upgrade the perfection and efficiency of meteorological prediction.