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Thorough analysis of local droplet-level interactions is crucial to betterunderstand the microphysical processes in clouds and their effect on the globalclimate. High-accuracy simulations of relevant droplet size distributions fromLarge Eddy Simulations (LES) of bin microphysics challenge current analysistechniques due to their high dimensionality involving three spatial dimensions,time, and a continuous range of droplet sizes. Utilizing the compact latentrepresentations from Variational Autoencoders (VAEs), we produce novel andintuitive visualizations for the organization of droplet sizes and theirevolution over time beyond what is possible with clustering techniques. Thisgreatly improves interpretation and allows us to examine aerosol-cloudinteractions by contrasting simulations with different aerosol concentrations.We find that the evolution of the droplet spectrum is similar across aerosollevels but occurs at different paces. This similarity suggests thatprecipitation initiation processes are alike despite variations in onset times.

Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds