NSF award 2530967 · University of Montana

Collaborative Research: CAIG: Physics-informed Machine Learning of Ice Calving and Sliding

Final report due

30 April 2029

in 925 days · The award ends on 31 December 2028.

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Decide about an extension2 Sep 2028in 685 days
award ending 2028-12-31 · Research.gov
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Extension request16 Nov 2028in 760 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2028in 795 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2029in 925 days
award ending 2028-12-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 December 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 30 April 2029.

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Award card

Award number: 2530967
Period of support: 1 Jan 2026 – 31 Dec 2028
Amount: $600,397
Awardee: University of Montana, Missoula, MT
Program: GEO CI - GEO Cyberinfrastrctre
Directorate: GEO

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…

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