Earth Prediction Innovation Center (EPIC)-Advancing Weather Modeling Skills
Overview
Buyer
Place of Performance
NAICS
PSC
Set Aside
Original Source
Timeline
Qualification Details
Fit reasons
- NAICS alignment with historical contract wins in similar service areas.
- Scope strongly matches core technical capabilities and delivery model.
Risks
- Past performance thresholds may require one additional teaming partner.
- Potential clarification needed on staffing minimums before bid/no-bid.
Next steps
Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.
Quick Summary
The National Oceanic and Atmospheric Administration (NOAA) is soliciting proposals for the Earth Prediction Innovation Center (EPIC) to advance weather modeling skills. This Total Small Business Set-Aside opportunity seeks state-of-the-art software architecture, engineering, and scientific support services to enhance numerical weather prediction (NWP) and transition research into operations. The contract is a single-award Indefinite-Delivery, Indefinite-Quantity (IDIQ) with a maximum value of $49 million. Proposals for Phase 2 are due March 5, 2026, at 5:00 PM Mountain Time.
Purpose & Scope
The primary objective is to maintain and expand a community modeling infrastructure for advanced Earth system models within the Unified Forecast System (UFS) framework, incorporating both physics-based and machine learning (ML) models. Key areas of work include:
- Project Management: Developing and maintaining PMPs, QCPs, and Transition Plans.
- Infrastructure: Supporting and expanding the EPIC Community Portal (ECP) with CI/CD pipelines and leveraging HPC resources.
- Code Management: Supporting platform-agnostic containerized UFS code and facilitating research-to-operations transition.
- Systems Integration: Supporting end-to-end prototypes and continuous integration of UFS configurations.
- Data Management: Supporting data management for testing UFS configurations.
- Performance Tracking: Tracking improvements in UFS computational performance and forecast skill.
- Community Engagement: Supporting community releases, user support, and a governance framework.
- Machine Learning (ML) for NWP: Supporting and expanding infrastructure for data-driven NWP models.
Contract Details
- Contract Type: Single-award IDIQ with Firm-Fixed-Price (FFP) task orders.
- Set-Aside: Total Small Business Set-Aside (FAR 19.5). Other Than Small Businesses (OTSB) may participate via joint ventures with small businesses under mentor-protégé arrangements or as prime/subcontractor teams, provided subcontracting limitations are met.
- Period of Performance: Five (5) years, with an option for a six-month extension.
- Estimated Value: Minimum order $25,000; Maximum IDIQ value $49,000,000.
- Place of Performance: At the direction and discretion of the contractor (Silver Spring, MD).
- Key Personnel: Required to support the program on at least a 50% FTE basis if fully funded under a task order.
Submission & Evaluation
- Proposal Due Date: March 5, 2026, at 5:00 PM Mountain Time. No further extensions will be granted.
- Evaluation Process: Two-phase Advisory Down-Select.
- Phase 1: Requires Cover Letter, Volume I (Technical Capability), and Volume V (Compliance Items).
- Phase 2: Requires Cover Letter, Volume II (Technical Approach), Volume III (Past Performance), and Volume IV (Pricing Submission).
- Evaluation Factors (descending order of importance): Technical Capability, Technical Approach, Past Performance, and Price.
- Award Basis: Best-value trade-off.
- Pricing: Offerors must use the provided Attachment 5 - Pricing Schedule (Amd 0003 version) to enter fully burdened hourly labor rates and proposed escalation. Only proposed rates will be incorporated into the contract.
- Data Management Plan: No longer a proposal requirement; it is now a post-award deliverable.
- Acknowledgement: Offerors are required to acknowledge all amendments.
Contacts
- Primary: Hannah Montoya (hannah.montoya@noaa.gov)
- Secondary: Gwendolynn Boyle (Gwendolynn.Boyle@noaa.gov)