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Inferential model for dry deposition across the U.S. Ammonia Monitoring Network (AMoN)
Citation:
Baublitz, C., J. Walker, J. Bash, AND Z. Wu. Inferential model for dry deposition across the U.S. Ammonia Monitoring Network (AMoN). National Atmospheric Deposition Program Fall Meeting and Scientific Symposium, Knoxville, TN, November 14 - 18, 2022.
Impact/Purpose:
The dry deposition of ammonia is an increasingly influential component of the U.S. nitrogen (N) budget. However, its spatiotemporal variability is not well understood because there are few long-term observations of this process.
Description:
Here we present a new tool that simulates field-scale dry deposition fluxes across the U.S. Ammonia Monitoring Network (AMoN). This approach employs publicly available, observation-based datasets and the model for Surface Tiled Aerosol and Gaseous Exchange (STAGE). After evaluating this framework using observations at three pilot sites, we use it to investigate the spatiotemporal variability of dry deposition across AMoN in 2018. With additional sensitivity simulations, we also test the influence of individual processes and empirical model parameters on the component (stomatal, cuticular and soil) ammonia fluxes.
