Transforming research innovations into operational practice
Advancing water forecasting capabilities requires understanding not only the science of modeling, but also the realities of operational decision-making and complex data flows. This perspective and our experience in both research and water management operations allows us to bridge the gap between innovation and application, ensuring new methods are practical and reliable.
We work through the Cooperative Institute for Research to Operations in Hydrology (CIROH), and directly with Reclamation, National Weather Service River Forecast Centers, water management groups, and hydropower utilities to explore, test, and apply these innovations.
- Assessment and translation of novel approaches developed by academic partners into operational application
- Development of ensemble reforecast datasets to support evaluation of alternative approaches
- Ensemble bias correction
- Ensemble forecast verification
- Enhanced precipitation ensemble development
- Expansion and application of AI-based and hybrid AI/conceptual hydrologic modeling
- AI-based consumptive use modeling
- AI-based data assimilation of new snow products into traditional lumped hydrologic models
- Translation of ensemble forecasts to new locations
- Development of tools and evaluation datasets to support alternative forecast comparison (e.g., TEEHR)
- Standardization of forecast comparison methods
- Development of evaluation dashboards
- Evaluation of the economic benefits and impacts of forecast information for decision-making
- Application of novel techniques for operational decision-making and visualization
- Streamlining FIRO evaluation and application
- Development of tools to streamline assessment of tradeoffs between hydropower and other water uses
- Application of nationwide reservoir modeling and regulation characterization