Climate Program Office FY 2027 – Super Intelligence/Machine Learning Innovation to Advance NOAA’s Earth System Science and Support Hazard Resilience
🏛 DOC NOAA - ERA Production (DOC-DOCNOAAERA)
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Can you apply?
This grant is for organizations developing artificial intelligence and machine learning solutions to advance NOAA's Earth system science capabilities. Eligible applicants include institutions of higher education, nonprofits, commercial organizations, and federally recognized tribal governments. Federal agencies may apply if they have legal authority to receive interagency transfers. Foreign institutions are not eligible. Projects must focus on one of three priority areas: multi-annual to decadal prediction, hazard resilience decision-support information, or extreme heat predictions and preparedness.
All applicants must comply with federal regulations and demonstrate technical merit in applying super intelligence/machine learning to NOAA's research mission.
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Program description
Through this Notice of Federal Funding Opportunity, the NOAA Climate Program Office (https://cpo.noaa.gov/funding-opportunities/) is soliciting proposals for a FY 2027 grants competition focused on Super Intelligence/Machine Learning Innovation to Advance NOAA’s Earth System Science and Support Hazard Resilience.
The NOAA Office of Oceanic and Atmospheric Research (OAR), or “NOAA Research,” provides the research foundation for understanding the complex systems that support our planet. Through cutting-edge research and innovation, OAR is the engine that drives the next-generation science and technology that NOAA depends upon in order to produce operational products, tools, and services. Working in partnership with other organizational units of NOAA, a bureau of the Department of Commerce, OAR enables better forecasts, earlier warnings for natural hazards, improved monitoring of Earth systems, and a greater understanding of those systems. The mission of OAR is to conduct research to understand and predict the Earth system; develop technology to improve NOAA science, service, and stewardship; and transition the results into use to help meet challenges faced by society.
As part of OAR, the Climate Program Office (CPO) supports mission-driven research to advance understanding of climate and to deliver actionable information to society to help Americans plan and respond. This FY 2027 Notice of Federal Funding Opportunity (NOFO) aligns with one of CPO’s core functions, to advance extramural research through a competitive process for continued innovation across NOAA. Key aspects of CPO’s work include:
- Advancing foundational and applied, cross-disciplinary climate and Earth system sciences, capacity building, tool development, and engagement.
- Collaborating closely with partners within NOAA and with the broader community to advance knowledge and support decisions.
- Building networks, partnerships, and collaborations, converging around the best ideas, and providing support to accelerate emerging innovation.
- Empowering communities across the Nation to be safer, healthier, and more prosperous in the face of climate-relevant hazards, including supporting preparedness for and protection against extreme weather, heat, floods, wildfire, and related air quality issues; managing for precipitation and drought; addressing coastal change and inundation; and sustaining marine and freshwater ecosystems.
In FY 2027, the CPO Modeling, Analysis, Predictions and Projections (MAPP) Program, the Adaptation Sciences (AdSci) Program, and the National Integrated Heat Health Information System (NIHHIS) Program are jointly soliciting proposals to accelerate innovation in NOAA’s Earth system science and to inform hazard resilience decision making through the application of Super Intelligence/Machine Learning (SI/ML). Proposals will focus on examining the application of SI/ML to advance NOAA’s capabilities across the following three Priority Areas: 1) multi-annual to decadal prediction, 2) hazard resilience decision-support information, and 3) extreme heat predictions and preparedness.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- Standard federal application forms (SF-424 or equivalent)
- Project Narrative/Proposal
- Budget and Budget Justification
- Letters of commitment from NOAA or partner organizations
- Detailed AI/ML methodology and work plan
- Organizational capacity documentation
Program contact
- 👤 Elizabeth W Holmes Grants Management Specialist
- 📧 Kathleen.Palermo@noaa.gov
- 📞 301-485-6428
Funding track record
Recent awards under CFDA 11.431 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$40,118,228
-
$36,440,915
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$23,081,989
-
$14,839,219
-
$14,249,315
-
$13,124,530
-
$12,187,884
-
$12,005,901
-
$7,010,696
-
$6,179,983
Top States by Funding
- CO 37 awards $138.0M
- CA 18 awards $42.1M
- HI 4 awards $12.6M
- WA 9 awards $10.0M
- MI 3 awards $9.9M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 11.431). How funding has trended year over year.
| 2024 | $88,947,641 | |
| 2025 | $69,520,538 | |
| 2026 est. | $70,000,000 |
FAQ
Who can apply for this grant?
Colleges, nonprofits, commercial organizations, and tribal governments are eligible. Federal agencies can apply with proper legal authority. Foreign institutions cannot apply.
When is the deadline?
The fixed deadline is February 9, 2027. No rolling or extended deadlines have been announced.
What kinds of projects does this grant support?
Projects using AI/machine learning for climate prediction, hazard resilience decision-support, or extreme heat preparedness. Work must advance NOAA's Earth system science capabilities.
How competitive is this funding?
This is a competitive federal research grant. Proposals must demonstrate strong technical merit and clear alignment with NOAA's mission and priorities.
What is the funding range?
Awards range from $1 to $750,000. Exact amounts depend on project scope and proposal quality.
💡 Tips for applicants
- Align your project directly to one of the three priority areas: multi-annual prediction, hazard resilience decision-support, or extreme heat. Generic AI/ML proposals will not be competitive.
- Demonstrate NOAA partnership potential. Show how your work will integrate with existing NOAA systems and benefit their operational mission.
- Include clear metrics for success. Specify how you'll measure whether your AI/ML solution improves forecasts, decisions, or hazard preparedness.
- Build a strong team with relevant expertise. Include climate scientists, data engineers, and domain experts who understand both ML and NOAA's technical environment.
- Provide realistic timelines and budgets. Federal reviewers expect careful planning and justification for every dollar requested.
⚠️ Common mistakes
Proposals that are too generic or don't clearly target one of the three priority areas get rejected. Applicants must demonstrate specific application of AI/ML to NOAA's mission, not just general data science work. Federal agencies that lack proper legal authority for interagency transfers are deemed ineligible after submission.
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