Predicting Sandstorms and Drought Using Artificial Intelligence Techniques Based on Climate Data: A Case Study of Jifarah Plain, Libya
An artificial-intelligence framework for predicting drought severity and sandstorm occurrence using monthly climate data for 1985–2022 is developed and provides a reproducible approach that can be adapted to other arid regions of Libya and North Africa characterized by sparse ground-based monitoring networks.