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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-112
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Model description paper
06 Jun 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0
Jeffrey H. Curtis1, Nicole Riemer1, and Matthew West2 1Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, 105 S Gregory St., Urbana, IL 61801, USA
2Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, 1206 W. Green St., Urbana, IL 61801, USA
Abstract. The particle-resolved aerosol model PartMC-MOSAIC was previously developed to predict the aerosol mixing state as it evolves in the atmosphere. However, the modeling framework was limited to a 0-D box model approach without resolving spatial gradients in aerosol concentrations. This paper presents the development of stochastic particle methods to simulate turbulent diffusion and dry deposition of aerosol particles in a vertical column within the planetary boundary layer. The new model, WRF-PartMC-MOSAIC-SCM, resolves the vertical distribution of aerosol mixing state. We verified the new algorithms with analytical solutions for idealized testcases and illustrate the capabilities with results from a two-day urban scenario that shows the evolution of black carbon mixing state in a vertical column.

Citation: Curtis, J. H., Riemer, N., and West, M.: A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-112, in review, 2017.
Jeffrey H. Curtis et al.
Jeffrey H. Curtis et al.
Jeffrey H. Curtis et al.

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Short summary
Traditional aerosol representations rely on simplifying assumptions regarding aerosol composition in order to reduce computational cost. This affects the estimate of macroscale properties of the atmosphere. In contrast, the WRF-PartMC-MOSAIC-SCM model, presented here, uses a particle-resolved aerosol representation. It is made feasible by the development of efficient numerical methods, and allows for the capturing of complex aerosol mixing states with altitude.
Traditional aerosol representations rely on simplifying assumptions regarding aerosol...
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