Description
The NOAA Climate Program Office (CPO) is issuing a FY 2027 grant competition to fund innovative research that applies Super‑Intelligence and Machine‑Learning (SI/ML) techniques to advance NOAA’s Earth system science and improve hazard‑resilience decision support. Proposals must target one or more of three priority areas: (1) multi‑annual to decadal climate prediction, (2) hazard‑resilience decision‑support information, and (3) extreme‑heat prediction and preparedness. The competition is open to U.S. higher‑education institutions, non‑profits, commercial firms, Tribal governments, and eligible federal entities. The award ceiling is $750,000 with a minimum of $1. Funding will be provided as a grant (no cost‑sharing required). Applications are submitted through Grants.gov by 12:00 a.m. EST on 9 Feb 2027.
• Eligible applicants: U.S. colleges/universities, non‑profits, commercial organizations, Tribal governments, and qualifying federal agencies.
• Funding instrument: Grant (CFDA 11.431 – Climate and Atmospheric Research).
• Award range: $1 – $750,000 (single‑award expected).
• Scope: Develop, test, and demonstrate SI/ML methods for climate prediction, hazard‑resilience products, or extreme‑heat forecasting.
• Submission portal: Grants.gov; required forms include SF‑424, SF‑424A (budget), and a detailed budget narrative.
• Contact: Kathleen Palermo (Grants Management Specialist, NOAA) – [email protected], (301) 485‑6428.
• No pre‑bid meeting, site visit, or question‑deadline specified.