Atmos. Chem. Phys. Discuss., 8, 7085-7110, 2008
www.atmos-chem-phys-discuss.net/8/7085/2008/
doi:10.5194/acpd-8-7085-2008
© Author(s) 2008. This work is distributed
under the Creative Commons Attribution 3.0 License.
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This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
A computationally-efficient secondary organic aerosol module for three-dimensional air quality models
P. Liu and Y. Zhang
Dept. of Marine, Earth, and Atmos. Sci., North Carolina State Univ., Raleigh, NC 27519, USA

Abstract. Accurately simulating secondary organic aerosols (SOA) in three-dimensional (3-D) air quality models is challenging due to the complexity of the physics and chemistry involved and the high computational demand required. A computationally-efficient yet accurate SOA module is necessary in 3-D applications for long-term simulations and real-time air quality forecasting. A coupled gas and aerosol box model (i.e., 0-D CMAQ-MADRID 2) is used to optimize relevant processes in order to develop such a SOA module. Solving the partitioning equations for condensable volatile organic compounds (VOCs) and calculating their activity coefficients in the multicomponent mixtures are identified to be the most computationally-expensive processes. The two processes can be speeded up by relaxing the error tolerance levels and reducing the maximum number of iterations of the numerical solver for the partitioning equations for organic species; turning on organic-inorganic interactions only when the water content associated with organic compounds is significant; and parameterizing the calculation of activity coefficients for organic mixtures in the hydrophilic module. The optimal speed-up method can reduce the total CPU cost by up to a factor of 29.7 with ±15% deviation from benchmark results. These speedup methods are applicable to other SOA modules that are based on partitioning theories.

Citation: Liu, P. and Zhang, Y.: A computationally-efficient secondary organic aerosol module for three-dimensional air quality models, Atmos. Chem. Phys. Discuss., 8, 7085-7110, doi:10.5194/acpd-8-7085-2008, 2008.
 
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