Articles | Volume 16, issue 7
https://doi.org/10.5194/acp-16-4369-2016
https://doi.org/10.5194/acp-16-4369-2016
Research article
 | 
07 Apr 2016
Research article |  | 07 Apr 2016

Sensitivity to grid resolution in the ability of a chemical transport model to simulate observed oxidant chemistry under high-isoprene conditions

Karen Yu, Daniel J. Jacob, Jenny A. Fisher, Patrick S. Kim, Eloise A. Marais, Christopher C. Miller, Katherine R. Travis, Lei Zhu, Robert M. Yantosca, Melissa P. Sulprizio, Ron C. Cohen, Jack E. Dibb, Alan Fried, Tomas Mikoviny, Thomas B. Ryerson, Paul O. Wennberg, and Armin Wisthaler

Data sets

Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) SEAC4RS Science Team https://doi.org/10.5067/Aircraft/SEAC4RS/Aerosol-TraceGas-Cloud

Download
Short summary
Increasing the spatial resolution of a chemical transport model may improve simulations but can be computationally expensive. Using observations from the SEAC4RS aircraft campaign, we find that at higher spatial resolutions, models are better able to simulate the chemical pathways of ozone precursors, but the overall effect on regional mean concentrations is small. This implies that for continental boundary layer applications, coarse resolution models are adequate.
Altmetrics
Final-revised paper
Preprint