grant

CAREER: Dimensionality reduction of glacier and ice-sheet processes using deep learning: Development, and evaluation

Organization SUNY at BuffaloLocation AMHERST, United StatesPosted 1 Aug 2025Deadline 31 Jul 2030
NSFUS FederalResearch GrantScience FoundationNY
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The current generation of ice-sheet models underpredicts observed rates of mass loss of the Greenland Ice Sheet, in part because these models are inherently incomplete representations of complex systems. This work aims to reduce this bias by increasing the complexity of glacier processes that are represented in the next generation of ice-sheet…

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CAREER: Dimensionality reduction of glacier and ice-sheet processes using deep learning: Development, and evaluation — S | Dev Procure