Collaborative Research: CAIG: Understanding Ocean Physics via Multiscale AI Emulators — NSF Award to Massachusetts Institute of Te
This project will build the first multiscale AI ocean emulator, spanning from submesoscales to large-scale ocean flows, for long-term ocean variability. The emulator will be used to investigate the complex nonlinear dynamics of the ocean circulation and to bridge the gap between understanding and simulating ocean varia
| Award title | Collaborative Research: CAIG: Understanding Ocean Physics via Multiscale AI Emulators |
|---|---|
| Award ID | 2530959 |
| Awardee | Massachusetts Institute of Technology |
| City | CAMBRIDGE |
| State | MA |
| Amount obligated | $497,026 |
| Principal investigator | Abigail Bodner |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Start date | 10/01/2025 |
| Abstract | This project will build the first multiscale AI ocean emulator, spanning from submesoscales to large-scale ocean flows, for long-term ocean variability. The emulator will be used to investigate the complex nonlinear dynamics of the ocean circulation and to bridge the gap between understanding and simulating ocean variability across many time and space scales. This project will also advance the development of physics-informed, autoregressive neural networks capable of learning from heterogeneous, |
| Source | NSF Awards |
$799/mo
Try NSFGrants →