NSF R2I2: Developing Subseasonal to Seasonal Weather Prediction Tools to Meet Agricultural — NSF Award to University of Illinois a
Extreme weather and related environmental impacts disproportionately affect the agricultural sector, even when such events are rare. Yet agricultural stakeholders lack access to skillful operational subseasonal to seasonal (S2S) forecasts that could inform and empower them to take timely mitigative actions. This is due
| Award title | NSF R2I2: Developing Subseasonal to Seasonal Weather Prediction Tools to Meet Agricultural |
|---|---|
| Award ID | 2518299 |
| Awardee | University of Illinois at Urbana-Champaign |
| City | URBANA |
| State | IL |
| Amount obligated | $499,645 |
| Principal investigator | Zhuo Wang |
| Program | TIP-CHIPS KTA-5 Disaster mgmt |
| Start date | 08/01/2025 |
| Abstract | Extreme weather and related environmental impacts disproportionately affect the agricultural sector, even when such events are rare. Yet agricultural stakeholders lack access to skillful operational subseasonal to seasonal (S2S) forecasts that could inform and empower them to take timely mitigative actions. This is due in part to sharp recent decreases in the capacity of global prediction models to be accurate beyond a two-week forecast lead time. Weather extremes represent the tail distribution |
| Source | NSF Awards |
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