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Enhanced Representation of Soil NO Emissions in the Community Multiscale Air Quality (CMAQ) Model Version 5.0.2Modeling 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 12km 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 NO2 columns from Ozone Monitoring Instrument (OMI) satellite retrievals. We also simulate how the change in soil NO emissions scheme affects the expected O3 response to projected emissions reductions.
Document ID
20160013898
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Rasool, Quazi Z.
(Rice Univ. Houston, TX, United States)
Zhang, Rui
(Rice Univ. Houston, TX, United States)
Lash, Benjamin
(Rice Univ. Houston, TX, United States)
Cohan, Daniel S.
(Rice Univ. Houston, TX, United States)
Cooter, Ellen J.
(Environmental Protection Agency Research Triangle Park, NC, United States)
Bash, Jesse O.
(Environmental Protection Agency Research Triangle Park, NC, United States)
Lamsal, Lok N.
(Universities Space Research Association Greenbelt, MD, United States)
Date Acquired
November 30, 2016
Publication Date
September 16, 2016
Publication Information
Publication: Geoscientific Model Development
Publisher: Geoscientific Model Development
Volume: 9
Issue: 9
Subject Category
Environment Pollution
Report/Patent Number
GSFC-E-DAA-TN37563
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
Distribution Limits
Public
Copyright
Other
Keywords
remote sensing
soil emissions
Nitrogen oxides
air quality model

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