Particle-based microphysics models differ significantly from the conventional computational fluid dynamics approaches of representing aerosol, cloud and precipitation particle populations as separate categories of trace constituents modeled with continuous density fields (so-called bulk or bin models). The particle-based microphysics modeling techniques are also termed super-particle or super-droplet methods, because the simulation particles (or SIPs) represent a significant multiplicity of simulated aerosol/cloud/precipitation particles. The super-particles constitute a coarse-grained view of the aerosol particles, droplets and hydrometeors in both real and attribute space. The probabilistic aspects of the particle-based techniques are multifaceted and, depending on the model formulation, refer to randomly populating the phase space with super-particles and/or Monte-Carlo type representation of stochastic-in-nature processes such as coagulation, nucleation or small-scale motions. The aim of this session is to spin-up interactions among, on the one hand, research groups working on the development of particle-based aerosol/cloud simulation tools and, on the other hand, wider modeling community as well as experimentalists performing measurements relevant to model formulation and validation. We thus welcome contributions highlighting applications of the particle-based methodology in both aerosol-cloud interactions research and neighboring domains, as well as pitches for tackling open problems with particle-based methods. Session topics include (but are not limited to): (i) applications of particle-based microphysics models; (ii) comparisons with bulk and bin simulations; (iii) performance and scaling analyses including CPU/GPU usage strategies; (iv) flow-particle coupling aspects including subgrid scale motions; (v) phase-space sampling strategies; (vi) Monte-Carlo algorithms for particle-resolved models; (vii) coupling radiative-transfer models with particle-based microphysics; (viii) aerosol mixing state and biochemical properties in cloud simulations; (ix) mixed-phase particle-based models; (x) model validation against ambient and laboratory measurements.
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