GLR Runoff Risk Prediction Platform
Team
Two AWS SageMaker pipelines — training and prediction — generate runoff forecasts from National Water Model data, and a production geospatial web application serves real-time runoff-risk forecasting and historical data analysis for the Great Lakes Region.
From this research area
- Street-to-pipe diagnosis of compound rain–tailwater flooding (2026)
- Hydrological extremes heighten vulnerability to schistosomiasis (2024)
- A methodological framework for improving the performance of data-driven models (2023)
- Editorial: Coastal Flooding: Modeling, Monitoring, and Protection Systems (2022)
- Generalization of Runoff Risk Prediction (2022)