Characterizing hourly fire activity using goes ABI and viirs to improve the prediction of smoke impacts and timing

Active Project Grant Awarded Last action

Award ID
80NSSC23K1263
Recipient
Awarding agency
Obligated
$562,516

Award facts

Assistance listing
43.001 Science
Completion date 83% complete
Originally
Place of performance
Houghton, MI, USA

Award details come from USAspending.gov.

Transactions

Action Obligated Date
Amendment 22-ESROGSS22-0019 characterizing hourly fire activity using goes ABI and viirs to improve the prediction of smoke impacts and timing $0
Amendment $207,022
Amendment $176,773
Original award $178,721

Subawards

Subrecipient Amount Awarded
University Of California, Davis Mr. Sean Raffuse, at the UC Davis Air Quality Research Center (AQRC) will serve as an advisor on the project, reviewing and contributing to algorithm and method… $32,395
Sonoma Technology, Inc. High-rate temporal fire activity information (e.g., hourly) is critical for advancing the understanding of fire behavior, fire spread, and smoke emissions under… $132,460
Sonoma Technology, Inc. $82,585

Quick answers

Who received award 80NSSC23K1263?

80NSSC23K1263 was awarded to Michigan Technological University by Shared Services Center (National Aeronautics and Space Administration) on July 13, 2023.

How much is award 80NSSC23K1263 worth?

$562,516 has been obligated on 80NSSC23K1263.

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