CAREER: CAS-Climate: Forecast-informed Flexible Reservoir System Modeling Enabled by Artif — NSF Award to Regents of the Universit
Abrupt weather extremes, changing climate, and frequent natural hazards, such as floods and droughts, have created new challenges for the effective, sustainable, and flexible operation of our nation’s reservoir systems. To avoid reservoir failures due to insufficient operational flexibility and unpredictable water flux
| Award title | CAREER: CAS-Climate: Forecast-informed Flexible Reservoir System Modeling Enabled by Artif |
|---|---|
| Award ID | 2618864 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $385,737 |
| Principal investigator | Tiantian Yang |
| Program | EnvS-Environmtl Sustainability |
| Start date | 01/01/2026 |
| Abstract | Abrupt weather extremes, changing climate, and frequent natural hazards, such as floods and droughts, have created new challenges for the effective, sustainable, and flexible operation of our nation’s reservoir systems. To avoid reservoir failures due to insufficient operational flexibility and unpredictable water fluxes during extreme events, dam operators need two essential items: (1) accurate and reliable hydrological forecasts at extended lead times (ranging from days to months in the near f |
| Source | NSF Awards |
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