Authors : Mayank Tambe, Sunil M. Wanjari, Brijesh Kanaujiya, Dewanshu Satpute, Daisy Francis
DOI : 10.46335/IJIES.2024.9.8.5
Abstract- The ever-changing nature of weather and atmospheric conditions has underscored the significance of weather forecasting as a pivotal area of research. Over recent decades, scientists have innovated various techniques to enhance model precision, particularly in handling complex nonlinear statistical datasets, aiming to mitigate environmental risks and global crises. Artificial intelligence and machine learning have introduced a transformative aspect to weather forecasting, simplifying intricate mathematical equations. The objective of this study is to delve into radar data analysis, aiming to provide valuable insights that can contribute to the advancement of climate prediction and the refinement of weather forecast models.
This model serves to further elucidate the complexities of weather phenomena, enhancing our understanding and predictive capabilities in weather forecasting. By revealing the interdependencies between different parameters, our model significantly enhances our ability to predict weather conditions accurately.
