Extending ClimaX for Flood Forecasting
- Samuel Chege Maina, Microsoft
This video showcases the innovative work by the Microsoft Research Africa, Nairobi team on improving flood forecasting in Rwanda. By enhancing the ClimaX model, a transformer-based weather and climate model, the team aims to predict daily flood extents more accurately. This breakthrough highlights the potential of deep learning models in enhancing flood forecasting, which is crucial for disaster preparedness and flood risk assessment in vulnerable areas.
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Samuel Chege Maina
Senior Research Scientist
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