Collaborative Research: CAIG: Multi-scale AI-powered modeling of small-scale turbulence wi — NSF Award to University of Texas at D
Surface waves and their resulting turbulent processes play a central role in regulating the exchanges of mass, momentum, and energy between the atmosphere and ocean, directly influencing sea states, weather patterns, and climate systems. Although integrating the dynamics of surface waves into the coupled atmospheric-oc
| Award title | Collaborative Research: CAIG: Multi-scale AI-powered modeling of small-scale turbulence wi |
|---|---|
| Award ID | 2531078 |
| Awardee | University of Texas at Dallas |
| City | RICHARDSON |
| State | TX |
| Amount obligated | $579,598 |
| Principal investigator | Kianoosh Yousefi |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Start date | 10/01/2025 |
| Abstract | Surface waves and their resulting turbulent processes play a central role in regulating the exchanges of mass, momentum, and energy between the atmosphere and ocean, directly influencing sea states, weather patterns, and climate systems. Although integrating the dynamics of surface waves into the coupled atmospheric-oceanic models is crucial for accurate weather and climate forecasts, the current understanding of fundamental processes that link the turbulent flow structures above and below the s |
| Source | NSF Awards |
$799/mo
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