Accurate prediction of severe weather events has never been more critical, as the frequency and intensity of extremes continue to rise under a changing climate. Recent advances in machine learning have transformed the landscape of weather forecasting, demonstrating remarkable skill and computational efficiency in short- and medium-range forecasts, increasing predictability and reducing forecast jumpiness. Nevertheless, physically based global models remain essential to ensure the...