This $350,000 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports collaborative research to unravel the long-range predictability and environmental dependency of high-impact cyclones, such as hurricanes and nor'easters, using advanced artificial intelligence (AI) tools. The project aims to delineate the predictability limits of these dangerous storms, identify key atmospheric precursors, and probe the contributions of ocean, sea ice, and land properties to cyclone predictability. This interdisciplinary research will generate new insights into cyclone dynamics and provide a framework for improving weather and climate prediction systems. No sub-awards are planned under this grant, which has an award date of January 1, 2026 and an ultimate completion date of December 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $350.0k | 7/14/25 |