This Pre-Solicitation opportunity from Department Of Defense was posted on August 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Prado Dam Spillway Hydroforecasting Services
Contract Overview
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AI Contract Overview
The Prado Dam Spillway Hydroforecasting Services contract, solicitation number W912BV26CX100, seeks a provider to deliver comprehensive streamflow forecasts across short-term, seasonal, and annual horizons. The primary objective is to support risk-informed decision making for a construction project by predicting rainfall events and basin inflow volumes at the Prado Dam in Corona, California. This will be achieved through a combination of traditional models and an AI-powered platform capable of providing precise forecasts from hourly to annual intervals, including probabilistic confidence intervals and historical reforecasts in CSV format. This presolicitation is issued by the Department of Defense through the W076 Endist Tulsa office and is set aside as a sole source for SBA Certified Women-Owned Small Businesses. Interested parties must respond by September 8, 2026. The project falls under NAICS code 513210 and focuses on mitigating risks to personnel and infrastructure by providing the necessary data to trigger emergency protective measures within the project's action plan.
General Info
Place of Performance
Corona, CA, 92880, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
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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