Improving Lake Superior outflow regulation and quantifying uncertainty
Status: Forecasted
Posted date: May 4, 2026
Archive date: August 5, 2026
Close date: July 6, 2026
Opportunity ID: 362189
Opportunity number: W81EWF-26-SOI-0004
Opportunity category: Discretionary
Agency name: Engineer Research and Development Center
Agency code: DOD-COE-ERDC
Award floor: $0
Award ceiling: $200,000
Cost sharing required: No
Funding Instrument Types
- Cooperative Agreement
Category of Funding Activity
- Science and Technology and other Research and Development
Eligible Applicants
- Others
Categories (use these for quoted searches)
- agency_code:dod_coe_erdc
- category_of_funding_activity:science_and_technology_and_other_research_and_development
- cost_sharing_or_matching_requirement:false
- eligible_applicants:others
- funding_instrument_type:cooperative_agreement
- opportunity_category:discretionary
- status:forecasted
A. The U.S. Army Corps of Engineers (USACE) invites proposals for a project to conduct a comprehensive uncertainty analysis for new outflow rating equations associated with a critical water control structure on Lake Superior. The primary focus of this funding opportunity is to enhance the accuracy and reliability of discharge measurements, which are fundamental to the effective management of the Great Lakes system under the Lake Superior Regulation Plan. The base task, along with both options, are all tasks that are related to improving Lake Superior outflow regulation. However, these tasks are not interdependent. The base, option 1 and option 2, are simply a priority given to these tasks if funding should be available. Task 1: Current operational procedures for the structure’s gates include partially open settings that are not accounted for in historical rating equations. To address this, new rating equations are currently under development by a team at the University of Michigan using advanced physical and computational fluid dynamics (CFD) modeling. A key requirement for a successful proposal under this announcement is a well-defined plan for the awardee to work collaboratively and integrate their efforts with the existing University of Michigan modeling team. This partnership will be essential to ensure the resulting uncertainty analysis is robust and directly applicable to the new ratings. The principal outcome of this work will be a quantified uncertainty band for discharge rates corresponding to various gate openings and water levels. The uncertainty analysis should use the publicly available Large Lake Statistical Water Balance Model, so the uncertainty values are consistent with already operational uncertainty models for all other components of the Great Lakes water balance. This task will require a 12 month performance period so the results can be used in an upcoming study. Depending on availability of funding, the U.S. Army Corps of Engineers may award the following optional work: Task 2: The development and calibration of a high-fidelity hydrodynamic model of the St. Marys River built using the Delft3D FM suite. The scope of this model be the entire St Marys River from Point Iroquois on Lake Superior to the outlet of the River near Detour Village on Lake Huron. The domain shall include the North Channel of Lake Huron to Little Current Ontario but exclude connections to Georgian Bay. The model will be fully three-dimensional, focus on the St Marys Rapids and be able to incorporate the rating equations and uncertainty analysis proposed above. Delft3D FM must be used as the United States Government as well as partners at Environment Climate Change Canada both have access to this modeling suite. The United States Government will provide water level and velocity data to calibrate the model as well as computational resources. Successful projects will deliver technically sound uncertainty metrics that can be immediately integrated into USACE operational models, contributing to improved ecological outcomes and more effective water resource management. As well as the ability to provide scopes of work for the additional tasks should they be funded.