NSF award 2616006 · University of Wisconsin-Madison

CAIG: Advancing Wildfire Detection, Evolution, and Control Through Super-Resolution of Satellite Data and Physics-Guided Deep Learning

Final report due

30 April 2030

in 1,290 days · The award ends on 31 December 2029.

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award ending 2029-12-31 · Research.gov
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award ending 2029-12-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Dec 2029in 1160 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due30 Apr 2030in 1290 days
award ending 2029-12-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out30 Apr 2030in 1290 days
award ending 2029-12-31 · 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 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: 2616006
Period of support: 1 Jan 2027 – 31 Dec 2029
Amount: $1,054,579
Awardee: University of Wisconsin-Madison, Madison, WI
Program: AI and Geosciences
Directorate: GEO

Abstract

Wildfires are increasing in frequency, intensity, and societal impact as warming temperatures, increasing aridity, and more extreme weather alter fire-prone environments across the United States and globally. These changes threaten communities, ecosystems, air quality, and critical infrastructure. Despite advances in wildfire observation and modeling, major scientific questions remain regarding how weather,…

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