Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling

However, most data-driven weather forecasting models are black-box systems that focus on learning data mapping rather than fine-grained physical evolution in the time dimension. Consequently, the limitations in the temporal scale of datasets prevent these models from forecasting at finer time scales.