A Forecasting Paradigm Shift: From Traditional Methods to Physics–AI Combination in China’s National-Level Severe Convective Weather Operations

Key Points

• Improved forecasting accuracy relies on the integration of artificial intelligence with physical models, enhancing traditional methods.
• AI-driven models demonstrate significant advancements in predicting severe convective weather events, with better metrics observed.
• Analysis combines physics-based modeling with AI techniques, marking a shift from reliance solely on traditional forecasting methods.
• Integration of physics and AI may enable more precise weather predictions, especially for severe events in variable climates.