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Research Spending & Results

Award Detail

Doing Business As Name:University of Minnesota-Twin Cities
  • Timothy J Griffis
  • (612) 625-3117
  • Dylan B Millet
Award Date:07/21/2021
Estimated Total Award Amount: $ 400,031
Funds Obligated to Date: $ 400,031
  • FY 2021=$400,031
Start Date:08/01/2021
End Date:07/31/2024
Transaction Type:Grant
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.050
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Collaborative Research: Isotopic Fingerprinting of Nitrous Oxide Emissions from the United States Corn Belt
Federal Award ID Number:2110241
DUNS ID:555917996
Parent DUNS ID:117178941
Program:Atmospheric Chemistry
Program Officer:
  • Sylvia Edgerton
  • (703) 292-8522

Awardee Location

Street:200 OAK ST SE
Awardee Cong. District:05

Primary Place of Performance

Organization Name:University of Minnesota-Twin Cities
Street:1991 Upper Buford Circle, 439 Bo
City:St. Paul
County:Saint Paul
Cong. District:04

Abstract at Time of Award

The goal of this research is to increase the understanding of the sources and dynamics of nitrous oxide emissions from the US Corn Belt through a combination of isotopic fingerprinting, tall tower observations, and regional-scale inverse modeling. Nitrous oxide is a long-lived trace gas that contributes to climate warming and the destruction of stratospheric ozone. Agricultural regions are a major source of nitrous oxide to the atmosphere, but large uncertainties exist in the magnitude and pathways of their emissions from these regions. This project will provide new knowledge about nitrous oxide source dynamics that will be critical to designing effective strategies for mitigating nitrous oxide emissions from heterogeneous agricultural landscapes. The objectives of this research project are to: (1) Establish intensive field campaigns to quantify representative isotopic signatures for nitrous oxide (N2O) emissions from agricultural soils, natural soils, and agricultural drainage networks typical of the Corn Belt; (2) Make high-frequency, high-precision tall tower (185 m) observations of N2O isotopocules that will be used in combination with atmospheric transport modeling to characterize the isotopic composition of N2O emissions at the regional scale; and (3) Use a dual-tracer inverse modeling approach that leverages concentration and isotopic constraints to partition N2O emissions into direct emissions from agricultural soils as well as indirect emissions arising from N leaching and volatilization processes. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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