Explainable Deep Learning for Multi-Step Meteorological Forecasting in Saudi Arabia: A Foundation for Air Quality Prediction
Accurate and interpretable forecasting of meteorological variables is essential for environmental monitoring and for the development of reliable decision-support systems. This study proposes an explainable multi-step deep learning framework for forecasting daily mean air temperature in central Saudi Arabia. The dataset...