Scope
This requirement will be solicited as a sole source.
DEPT OF DEFENSE · DEPT OF THE ARMY · W076 ENDIST TULSA
This is a pre-solicitation notice for hydroforecasting services supporting the Prado Dam Spillway Modification Project in Corona, California. The work requires providing multi-horizon streamflow forecasts, including AI-powered hydrological and meteorological predictions. [1][2]
Pre-solicitation Notice For Prado Dam Spillway Modification Hydroforecasting Services Tulsa District This is a PRE-SOLICITATION NOTICE for the implementation of hydro-forecasting software in support of the Prado Dam Spillway Modification Project in Corona, California.
Set-aside: SBA Certified Women-Owned Small Business (WOSB) Program Sole Source (FAR 19.15)
Generated from the public notice and source-backed solicitation passages. Confirm important requirements in the cited brief and official documents.
Pre-solicitation Notice For Prado Dam Spillway Modification Hydroforecasting Services Tulsa District This is a PRE-SOLICITATION NOTICE for the implementation of hydro-forecasting software in support of the Prado Dam Spillway Modification Project in Corona, California.
This requirement will be solicited as a sole source.
THIS IS NOT A SOLICITATION FOR QUOTES AND NO CONTRACT WILL BE AWARDED FROM THIS SYNOPSIS.
Set-aside: SBA Certified Women-Owned Small Business (WOSB) Program Sole Source (FAR 19.15)
Corona, CA, 92880, USA
Posted Aug 24, 2026; Responses due Sep 8, 2026, 7:00 PM UTC; Archive date Sep 9, 2026
Extracted from the official notice and archived solicitation files. Confirm controlling requirements in the source documents.
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.
No field-level changes were detected between related notices.
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