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Prado Dam Spillway Hydroforecasting Services

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W912BV26CX100Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The Department of Defense, through the W076 Endist Tulsa office, is seeking presolicitation responses for the Prado Dam Spillway Hydroforecasting Services contract, solicitation number W912BV26CX100. This project requires the delivery of comprehensive streamflow forecasts across short-term, seasonal, and annual horizons to support risk-informed decision making for personnel and infrastructure safety. The selected provider must utilize a combination of traditional models and AI-powered hydrological and meteorological forecasts to predict rainfall events and basin inflow volumes at the Prado Dam in Corona, California. Key technical requirements include the provision of forecast points at the dam inflow, historical reforecasts in CSV format for validation, extended quantiles for full hydrograph prescription, and clear probabilistic confidence intervals. This opportunity is designated as a sole source set-aside for SBA Certified Women-Owned Small Businesses under NAICS code 513210. Interested parties must submit their responses by the deadline of September 8, 2026.

General Info

DoD seeks AI-powered hydroforecasting services for Prado Dam from Women-Owned Small Businesses.

Agency

Department Of Defense → W076 Endist TulsaView Agency

NAICS

513210 - Software PublishersView NAICS

Place of Performance

Corona, CA, 92880, USA

Set-Aside

WOSB

Documents

(1)

W912BV26CX100_Presolicitation+Notice_Prado+Hyrdoforecast.pdf

PDF

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Timeline

PhasePresolicitation
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Organization & Contact Information

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AgencyDepartment Of Defense → W076 Endist Tulsa
Contacts1 person available
OfficeTULSA, OK, 74137-4290, USA
Organization / Agency
Department Of Defense → W076 Endist Tulsa
View Agency Profile
Office AddressTULSA, OK, 74137-4290, USA

Full Description

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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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