Atmos. Chem. Phys. Discuss., 13, 12033-12087, 2013
www.atmos-chem-phys-discuss.net/13/12033/2013/
doi:10.5194/acpd-13-12033-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
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 statistical-numerical aerosol parameterization scheme
J.-P. Chen, I-C. Tsai, and Y.-C. Lin
Department of Atmospheric Sciences, National Taiwan University, Taipei City, Taiwan

Abstract. A new modal aerosol parameterization scheme, Statistical-Numerical Aerosol Parameterization (SNAP), was developed for studying aerosol processes and aerosol-cloud interactions in regional or global models. SNAP applies statistical fitting on numerical results to generate accurate parameterization formulas without sacrificing details of the growth kernel. Processes considered in SNAP include fundamental aerosol processes, as well as processes related to aerosol-cloud interactions. Comparison of SNAP with numerical solutions, analytical solutions, and binned aerosol model simulations showed that the new method performs well, with accuracy higher than that of the high-order numerical quadrature technique, at much less computation time. The SNAP scheme has been implemented in regional air quality models, producing results very close to those using binned-size schemes or numerical quadrature schemes.

Citation: Chen, J.-P., Tsai, I-C., and Lin, Y.-C.: A statistical-numerical aerosol parameterization scheme, Atmos. Chem. Phys. Discuss., 13, 12033-12087, doi:10.5194/acpd-13-12033-2013, 2013.
 
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