Collaborative Research: CAIG: Physics-informed Machine Learning of Ice Calving and Sliding — NSF Award to Dartmouth College (NH, $
Global sea level rise poses significant threats to coastal communities, ecosystems and economies worldwide. A major driver of sea level rise is ice mass loss from the Greenland and Antarctic ice sheets, where complex and poorly understood processes operating beneath and at the edges of the ice sheets control how fast i
| Award title | Collaborative Research: CAIG: Physics-informed Machine Learning of Ice Calving and Sliding |
|---|---|
| Award ID | 2530968 |
| Awardee | Dartmouth College |
| City | HANOVER |
| State | NH |
| Amount obligated | $505,036 |
| Principal investigator | Mathieu Morlighem |
| Program | GEO CI - GEO Cyberinfrastrctre |
| Start date | 01/01/2026 |
| Abstract | Global sea level rise poses significant threats to coastal communities, ecosystems and economies worldwide. A major driver of sea level rise is ice mass loss from the Greenland and Antarctic ice sheets, where complex and poorly understood processes operating beneath and at the edges of the ice sheets control how fast ice flows into the ocean. However, precise tools are still lacking for predicting how quickly these vast ice sheets will respond to a warming climate. This project aims to improve t |
| Source | NSF Awards |
$799/mo
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