Abstract
Abstract. The PartMC-MOSAIC particle-resolved aerosol model was previously developed to predict the aerosol mixing state as it evolves in the atmosphere. However, the modeling framework was limited to a zero-dimensional 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 test cases and illustrate the capabilities with results from a 2-day urban scenario that shows the evolution of black carbon mixing state in a vertical column.
Highlights
Aerosol particles impact the Earth’s radiative budget directly by scattering and absorbing shortwave radiation (McCormick and Ludwig, 1967; Charlson and Pilat, 1969; Charlson et al, 1992), and indirectly by modifying cloud microphysical properties (Twomey, 1977; Albrecht, 1989; Rosenfeld, 2000)
In this paper we present the model development that couples Particle Monte Carlo (PartMC)-MOSAIC with the Weather Research and Forecast (WRF) Single Column Model, resulting in a fully coupled one-dimensional atmospheric-dynamics/aerosol-particle model that resolves the particle mixing state on a per-particle level, and resolves the vertical structure of the atmosphere
When the number of particles is twice the initially prescribed number, in order to alleviate the higher computational cost, half the computational particles are discarded and the computational volume is halved. This strategy has been previously used for particle populations in the zero-dimensional PartMCMOSAIC box model (Riemer et al, 2009) as well as other Monte Carlo simulations for particle dynamics (Efendiev and Zachariah, 2002; Maisels et al, 2004)
Summary
Aerosol particles impact the Earth’s radiative budget directly by scattering and absorbing shortwave radiation (McCormick and Ludwig, 1967; Charlson and Pilat, 1969; Charlson et al, 1992), and indirectly by modifying cloud microphysical properties (Twomey, 1977; Albrecht, 1989; Rosenfeld, 2000). In previous work PartMC-MOSAIC has been used as a box model (Zaveri et al, 2010; Tian et al, 2014; Fierce et al, 2016; Ching et al, 2016), and it was not possible to resolve spatial gradients in aerosol mixing state To overcome this limitation, we have coupled PartMC-MOSAIC with the Weather Research and Forecast (WRF) model to allow transport of aerosol particle populations and gas species concentrations. In this paper we present the model development that couples PartMC-MOSAIC with the WRF Single Column Model, resulting in a fully coupled one-dimensional atmospheric-dynamics/aerosol-particle model that resolves the particle mixing state on a per-particle level, and resolves the vertical structure of the atmosphere. The dry deposition velocity of each gas species is determined by WRF/Chem as described in Grell et al (2005) with the use of the surface resistance parameterization from Wesely (1989)
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