NSF award 2616141 · University of Chicago
CAIG: Advancing AI atmospheric emulators through rigorous theoretical evaluation and uncertainty quantification
Final report due
30 April 2030
in 1,290 days · The award ends on 31 December 2029.
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- Decide about an extension2 Sep 2029in 1050 days
award ending 2029-12-31 · Research.gov
- Extension request16 Nov 2029in 1125 days
award ending 2029-12-31 · Research.gov
- No-cost extension notice21 Dec 2029in 1160 days
award ending 2029-12-31 · Research.gov
- Final report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
- Project outcomes report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
- Award is closed out30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
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- NSF lists this award's end date as 31 December 2029.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 30 April 2030.
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Award card
- Award number
- 2616141
- Period of support
- 1 Jan 2027 – 31 Dec 2029
- Amount
- $737,081
- Awardee
- University of Chicago, Chicago, IL
- Program
- AI and Geosciences
- Directorate
- GEO
Abstract
Accurately predicting how regional weather extremes like heat waves and droughts will evolve in the coming decades is essential for national preparedness and resilience. Traditional physics-based Earth system models (ESMs) exhibit discrepancies when compared to available observations, especially in regional trends, limiting their usefulness. Artificial intelligence (AI) models trained directly on observational data…
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