Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1
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Published:2019-02-27
Issue:2
Volume:12
Page:849-878
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Rasool Quazi Z.ORCID, Bash Jesse O.ORCID, Cohan Daniel S.
Abstract
Abstract. Soils are important sources of emissions of nitrogen-containing (N-containing) gases
such as nitric oxide (NO), nitrous acid (HONO), nitrous oxide (N2O),
and ammonia (NH3). However, most contemporary air quality models lack a
mechanistic representation of the biogeochemical processes that form these
gases. They typically use heavily parameterized equations to simulate
emissions of NO independently from NH3 and do not quantify emissions
of HONO or N2O. This study introduces a mechanistic, process-oriented
representation of soil emissions of N species (NO, HONO, N2O, and
NH3) that we have recently implemented in the Community Multiscale Air
Quality (CMAQ) model. The mechanistic scheme accounts for biogeochemical
processes for soil N transformations such as mineralization, volatilization,
nitrification, and denitrification. The rates of these processes are
influenced by soil parameters, meteorology, land use, and mineral N
availability. We account for spatial heterogeneity in soil conditions and
biome types by using a global dataset for soil carbon (C) and N across
terrestrial ecosystems to estimate daily mineral N availability in
nonagricultural soils, which was not accounted for in earlier parameterizations
for soil NO. Our mechanistic scheme also uses daily year-specific fertilizer
use estimates from the Environmental Policy Integrated Climate (EPIC v0509)
agricultural model. A soil map with sub-grid biome definitions was used to
represent conditions over the continental United States. CMAQ modeling for
May and July 2011 shows improvement in model performance in simulated
NO2 columns compared to Ozone Monitoring Instrument (OMI) satellite
retrievals for regions where soils are the dominant source of NO emissions.
We also assess how the new scheme affects model performance for NOx
(NO+NO2), fine nitrate (NO3) particulate matter, and ozone
observed by various ground-based monitoring networks. Soil NO emissions in
the new mechanistic scheme tend to fall between the magnitudes of the
previous parametric schemes and display much more spatial heterogeneity. The
new mechanistic scheme also accounts for soil HONO, which had been ignored
by parametric schemes.
Publisher
Copernicus GmbH
Reference118 articles.
1. Appel, K. W., Napelenok, S. L., Foley, K. M., Pye, H. O. T., Hogrefe, C.,
Luecken, D. J., Bash, J. O., Roselle, S. J., Pleim, J. E., Foroutan, H.,
Hutzell, W. T., Pouliot, G. A., Sarwar, G., Fahey, K. M., Gantt, B., Gilliam,
R. C., Heath, N. K., Kang, D., Mathur, R., Schwede, D. B., Spero, T. L.,
Wong, D. C., and Young, J. O.: Description and evaluation of the Community
Multiscale Air Quality (CMAQ) modeling system version 5.1, Geosci. Model
Dev., 10, 1703–1732, https://doi.org/10.5194/gmd-10-1703-2017, 2017. 2. Barton, L., McLay, C., Schipper, L., and Smith, C.: Annual denitrification
rates in agricultural and forest soils: a review, Soil Res., 37, 1073–1094,
1999. 3. Bash, J. O., Baker, K. R., and Beaver, M. R.: Evaluation of improved land use
and canopy representation in BEIS v3.61 with biogenic VOC measurements in
California, Geosci. Model Dev., 9, 2191–2207,
https://doi.org/10.5194/gmd-9-2191-2016, 2016. 4. Bash, J. O., Cooter, E. J., Dennis, R. L., Walker, J. T., and Pleim, J. E.:
Evaluation of a regional air-quality model with bidirectional NH3
exchange coupled to an agroecosystem model, Biogeosciences, 10, 1635–1645,
https://doi.org/10.5194/bg-10-1635-2013, 2013. 5. Bertram, T. H., Cohen, R. C., Thorn III, W. J., and Chu, P. M.: Consistency
of ozone and nitrogen oxides standards at tropospherically relevant mixing
ratios, J. Air Waste Manage., 55, 1473–1479, 2005.
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