The National Oceanic and Atmospheric Administration (NOAA) is inviting research proposals that apply Super Intelligence/Machine Learning to Earth system science, according to a funding listing published by Atom Grants. The competition is run by NOAA's Climate Program Office, part of its Office of Oceanic and Atmospheric Research.
What the money is for
The FY 2027 competition is administered jointly by three NOAA programs: Modeling, Analysis, Predictions and Projections (MAPP), Adaptation Sciences, and the National Integrated Heat Health Information System (NIHHIS), the federal effort that coordinates heat-risk information.
Applicants can address one or more of three areas:
- multi-annual to decadal climate prediction
- decision support for hazard resilience
- prediction of and preparedness for extreme heat
The listing says NOAA wants SI/ML methods that are interpretable and reliable, that improve the agency's own capabilities, and that produce information people can act on. It also stresses collaboration with NOAA, sharing of data and methods, and pairing machine learning experts with domain scientists.
Size and timing
Individual awards range up to $750,000, with most expected at up to $250,000 per year for projects lasting one to three years. The total budget and number of awards are not stated.
An optional letter of intent is due November 17, 2026, and full applications are due February 9, 2027. Applicants need an eRA Commons account, the federal research grants portal, before submitting; the listing advises starting registration at least six weeks early.
Why it matters
The competition is one of the first federal research programs to carry the "Super Intelligence" label in its title, following the administration's September executive order on the term. The full notice with eligibility rules and contacts is posted through NOAA's funding channels.