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Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2.

Authors :
Rasool, Quazi Z.
Rui Zhang
Lash, Benjamin
Cohan, Daniel S.
Cooter, Ellen J.
Bash, Jesse O.
Lamsal, Lok N.
Liao, K.-J.
Source :
Geoscientific Model Development; 2016, Vol. 9 Issue 9, p3177-3197, 21p
Publication Year :
2016

Abstract

Modeling of soil nitric oxide (NO) emissions is highly uncertain and may misrepresent its spatial and temporal distribution. This study builds upon a recently introduced parameterization to improve the timing and spatial distribution of soil NO emission estimates in the Community Multiscale Air Quality (CMAQ) model. The parameterization considers soil parameters, meteorology, land use, and mineral nitrogen (N) availability to estimate NO emissions. We incorporate daily year-specific fertilizer data from the Environmental Policy Integrated Climate (EPIC) agricultural model to replace the annual generic data of the initial parameterization, and use a 12 km resolution soil biome map over the continental USA. CMAQ modeling for July 2011 shows slight differences in model performance in simulating fine particulate matter and ozone from Interagency Monitoring of Protected Visual Environments (IMPROVE) and Clean Air Status and Trends Network (CASTNET) sites and NO<subscript>2</subscript> columns from Ozone Monitoring Instrument (OMI) satellite retrievals. We also simulate how the change in soil NO emissions scheme affects the expected O<subscript>3</subscript> response to projected emissions reductions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1991959X
Volume :
9
Issue :
9
Database :
Complementary Index
Journal :
Geoscientific Model Development
Publication Type :
Academic Journal
Accession number :
118368300
Full Text :
https://doi.org/10.5194/gmd-9-3177-2016