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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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How we got this date

  1. NSF lists this award's end date as 31 December 2029.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 30 April 2030.

Read the rule on Research.gov

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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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