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Hapi is a U-Net Swin Transformer that provides medium-range hydrological forecasts at continental scale, outperforming physics-based and AI models in flood detection across the contiguous United States.
This paper applies topological data analysis to flood detection by extracting topological features from satellite imagery and incorporating them into neural networks, demonstrating improved robustness and interpretability over conventional methods.