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Agricultural Emissions of Reactive Nitrogen Gases From Constrained Simulations Using the Community Land Model

  • Cornell University
  • Department of Biological and Environmental Engineering
  • Iowa State University
  • University of Wisconsin-Madison
  • Colorado State University
  • Finnish Meteorological Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Reactive nitrogen (Nr) gases (NH3, N2O, and NO) emitted from agricultural fields constitute a substantial portion of the Nr flux from land to the atmosphere. Here, we coupled the Flows of Agricultural Nitrogen (FANv3) with a modified version of the Community Land Model (CLM5.1) to produce a model (CLM-FANv3) that simulates the emissions of NH3, NO, and N2O. CLM-FANv3 is developed under the strong observational constraints of measurements conducted in mesocosms from a US Corn-Belt agricultural site where corn is planted subject to different fertilizer amounts and soil types. Combining measurements and models allows us to integrate disparate measurements of the mesocosm to produce more complete insights into the dynamic flow of nitrogen within the soil system. The new nitrogen dynamics in CLM-FANv3, as constrained by the measurements, are different than CLM5.1 with much-enhanced nitrification (2.5×), enhanced uptake of nitrate in plants (5×), increased nitrate leaching (an order of magnitude larger), and decreased denitrification (about half) at the mesocosm site. NH3 emissions are comparable to denitrification to N2, a significant term neglected in most Earth System Models. The emission factors for NO and N2O in CLM-FANv3 (0.8%, 1.9%) are in reasonable agreement with the measured emission factor (1.7%, 1.4%), a substantial improvement over the CLM5.1 coupled with FANv2 model (0.2%, 3.5%). The strong measurement constraints have important implications for simulating expected future changes in Nr emissions. Differences in nitrogen cycling also impact projected amounts of carbon stored in agricultural soils over the long term.

Original languageEnglish
Article numbere2025MS005455
JournalJournal of Advances in Modeling Earth Systems
Volume18
Issue number8
DOIs
StatePublished - Aug 2026

Keywords

  • leaching
  • modeling
  • nitric oxide
  • nitrogen cycling
  • nitrous oxide

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