| Title | Principal Investigator | Institution |
|---|
Create a quasi-operational water prediction testbed system and evaluate and integrate CIROH advances
Andy Wood
Colorado School of Mines
Advancing the forecast skill of extreme rainfall events and the modeling of hydrologic response
Marty Ralph
University of California, San Diego, Scripps Institute of Oceanography
Introduce data fusion, uncertainty quantification, and data assimilation techniques, especially use of AI/ML
Hamid Moradkhani
The University of Alabama
Adapt precipitation super-resolution and data fusion deep learning techniques for operational flood forecasting
John Beck, Sara Graves
The University of Alabama, Huntsville
Improve representation of snow accumulation and melting processes in the NextGen NWM in support of seasonal to sub-seasonal water supply forecasts
Carlos Oroza, McKenzie Skiles
The University of Utah
| Project | Principal Investigators | Institution |
|---|---|---|
| Create a quasi-operational water prediction testbed system and evaluate and integrate CIROH advances | Andy Wood | Colorado School of Mines |
| Advancing the forecast skill of extreme rainfall events and the modeling of hydrologic response | Marty Ralph | University of California, San Diego, Scripps Institute of Oceanography |
| Introduce data fusion, uncertainty quantification, and data assimilation techniques, especially use of AI/ML | Hamid Moradkhani | The University of Alabama |
| Adapt precipitation super-resolution and data fusion deep learning techniques for operational flood forecasting | John Beck, Sara Graves | The University of Alabama, Huntsville |
| Improve representation of snow accumulation and melting processes in the NextGen NWM in support of seasonal to sub-seasonal water supply forecasts | Carlos Oroza, McKenzie Skiles | The University of Utah |