| Location: | California |
|---|---|
| Posted: | Aug 24, 2026 |
| Due: | Sep 8, 2026 |
| Agency: | DEPT OF DEFENSE |
| Type of Government: | Federal |
| Category: |
|
| Solicitation No: | W912BV26CX100 |
| Publication URL: | To access bid details, please log in. |
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The purpose of this work is to provide streamflow forecasts across short-term (10-day), seasonal (90-day), and annual (daily, 1-year) horizons to enable informed risk-informed decision making. This streamflow model / forecast should contain forecast points at the inflow to Prado Dam, inclusion of historical reforecasts for validation period delivered in CSV files, extended quantiles to enable prescription of the full hydrograph at each model timestep, and clear probabilistic confidence intervals for each forecast point.
The model should provide AI powered hydrological and meteorological forecasts in conjunction with traditional models. The AI-powered platform will be expected to deliver precise, multi-horizon streamflow forecasts, from hourly to annual, leveraging deep hydrologic expertise. Its core value lies in accurately predicting rainfall events and basin inflow volumes that could necessitate emergency protective measures within our construction project’s action plan, which mitigates risks to personnel and infrastructure.

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