Hauptseite > Publikationsdatenbank > McSnow - A Monte-Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space > print

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082 _ _ |a 550
100 1 _ |a Brdar, Slavko
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245 _ _ |a McSnow - A Monte-Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space
260 _ _ |a Fort Collins, Colo.
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520 _ _ |a We present a novel Monte-Carlo ice microphysics model, McSnow, to simulate the evolution of ice particles due to deposition, aggregation, riming and sedimentation. The model is an application and extension of the super-droplet method of Shima et al. [2009] to the more complex problem of rimed ice particles and aggregates. For each individual super-particle the ice mass, rime mass, rime volume and the number of monomers is predicted establishing a four-dimensional particle size distribution. The sensitivity of the model to various assumptions is discussed based on box model and one-dimensional simulations. We show that the Monte-Carlo method provides a feasible approach to tackle this high-dimensional problem. The largest uncertainty seems to be related to the treatment of the riming processes. This calls for additional field and laboratory measurements of partially rimed snowflakes.
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