Coupling the Stochastic Particle-resolved Aerosol Model PartMC-MOSAIC with WRF

 
Poster PDF

Authors

Jeffrey Henry Curtis — University of Illinois at Urbana-Champaign
Matthew West — University of Illinois at Urbana-Champaign
Nicole Riemer — University of Illinois Urbana-Champaign

Category

Aerosol Mixing State

Description

The chemical reactivity, cloud condensation nuclei activity, radiative properties, and health impacts of black-carbon-containing particles depend crucially on the aerosol mixing state. The recently developed stochastic particle-resolving aerosol box model PartMC-MOSAIC has allowed unique insight into the evolution of aerosol mixing state as it tracks per-particle evolution for an aerosol population. We have developed a new model capability that couples the per-particle aerosol representation of PartMC-MOSAIC and the spatially-resolved meteorological information of the Weather Research and Forecast (WRF) model. The resulting model, PartMC-3D, allows particle populations to evolve due to the particle processes of coagulation, gas-to-particle conversion, and emission, as well as the transport processes of advection, turbulent mixing, and dry deposition. Here we will present the numerical methods and verification of the stochastic advection-diffusion algorithm. Additionally, we will present a first case study of an idealized 3D scenario to show how the aerosol mixing state of a spatially-resolved and particle-resolved plume evolves over time.

Lead PI

Matthew West — University of Illinois at Urbana-Champaign