Collaborative Research: Using the Ice Sheet and Sea-level System Model and geological cons — NSF Award to Columbia University (NY,
Estimates of the magnitude of sea-level rise largely come from computer models that predict ice-sheet behavior. For these models to accurately predict sea-level rise, physical ice-sheet processes must be properly represented. Accurate predictions of ice-sheet behavior and the magnitude of sea-level rise are critical fo
| Award title | Collaborative Research: Using the Ice Sheet and Sea-level System Model and geological cons |
|---|---|
| Award ID | 2416598 |
| Awardee | Columbia University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $452,989 |
| Principal investigator | Nicolas Young |
| Program | ANS-Arctic Natural Sciences |
| Start date | 09/01/2024 |
| Abstract | Estimates of the magnitude of sea-level rise largely come from computer models that predict ice-sheet behavior. For these models to accurately predict sea-level rise, physical ice-sheet processes must be properly represented. Accurate predictions of ice-sheet behavior and the magnitude of sea-level rise are critical for decision makers. This project will simulate the complete disappearance of the Laurentide Ice Sheet that once covered much of North America. The retreat of the Laurentide Ice Shee |
| Source | NSF Awards |
$799/mo
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