Collaborative Research: CAIG: Characterization of 3D Flow Structure in Transient Headland — NSF Award to Woods Hole Oceanographic
This project will develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple Autonomous Underwater Vehicles (AUVs). The system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate spatiotemporal variability of the small-s
| Award title | Collaborative Research: CAIG: Characterization of 3D Flow Structure in Transient Headland |
|---|---|
| Award ID | 2530349 |
| Awardee | Woods Hole Oceanographic Institution |
| City | WOODS HOLE |
| State | MA |
| Amount obligated | $871,084 |
| Principal investigator | Seth McCammon |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Start date | 10/01/2025 |
| Abstract | This project will develop a novel observing system that uses artificial intelligence (AI) to coordinate multiple Autonomous Underwater Vehicles (AUVs). The system will be used to characterize the three-dimensional structure of tidally-driven coastal headland eddies, investigate spatiotemporal variability of the small-scale flow convergence within the eddies, and understand the underlying mechanisms and their influence on the dispersal of marine materials. This approach is designed to overcome co |
| Source | NSF Awards |
$799/mo
Try NSFGrants →