This Cooperative Agreement award from the Bureau of Reclamation under the Snow Water Supply Forecasting Program (CFDA 15.078) will address key knowledge gaps in understanding the impacts of wildfire on snow accumulation, ablation, and runoff generation. The $876,296.41 project, with a period of performance from January 4, 2024 to September 30, 2026, will leverage a network of automated stations and field studies initiated following the 2020 Cameron Peak and East Troublesome Fires in Colorado. Key emerging technologies such as 4-component net radiometers, snow temperature sensors, unmanned aerial vehicle-based LiDAR, and ground penetrating radar will be used to collect detailed snow observations. These field data will be integrated with satellite remote sensing methods to refine the physics-based ISNOBAL snow model and improve streamflow forecasting, particularly in headwater systems affected by wildfire. As part of this effort, Boise State University will provide snow modeling expertise and support for mentoring graduate students at Colorado State University, the primary award recipient.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $706.5k | 1/4/24 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
G3059401S | Boise State University | Cooperative Agreement R24AC00027 | $51.0k | 4/3/24 |