Global River Flood Prediction

Global river flood prediction research aims to develop accurate and timely forecasting models to mitigate the devastating impacts of floods worldwide. Current efforts focus on leveraging multimodal machine learning approaches, integrating geographical data, historical flood records, and satellite imagery (like SAR data) to improve prediction accuracy, particularly in data-scarce regions. Advanced architectures such as LSTM networks and transformer-based models are being explored, along with the development of large, globally representative datasets for model training and benchmarking. Improved prediction capabilities will enhance disaster preparedness, resource allocation, and ultimately save lives and reduce economic losses.