AINeutralarXiv – CS AI · 6h ago6/10
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Temporal Context Conditioning for Seasonality-Aware Precipitation Nowcasting of High-Intensity Rainfall
Researchers propose TA-SmaAt-UNet, an AI model that improves precipitation nowcasting by incorporating temporal context through cyclical time-of-day and time-of-year encodings. The approach demonstrates particular effectiveness for rare high-intensity rainfall events, suggesting that lightweight meteorological context enhances deep learning weather prediction reliability.