Drought forecasting has evolved from empirical and physically based approaches to sophisticated data‐driven methods that integrate climate indices, hydrological models and machine learning.

Rainfall prediction is fundamental to water resource management, agriculture, disaster mitigation and climate research. Traditional statistical approaches, such as linear regression and time-series ...