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Model results from a 2019 study published in the Journal of Geophysical Research: Atmospheres by F. Comola et al. simulate preferential deposition of snow and dust particles over complex terrain. The dataset contains 2D arrays of deposition values (kg/m²) for each surface node in a Cartesian grid, generated using a coupled large eddy simulation and Lagrangian stochastic model. The research aimed to reconcile contradictory findings on deposition maxima and minima by analyzing the roles of particle inertia, flow advection, and gravity.
Data is stored in MATLAB (.mat) files containing 2D arrays; users require compatible software or libraries to read them. File names correspond to simulation numbers in the original paper, requiring cross-referencing for context.