Articles | Volume 14, issue 3
Geosci. Model Dev., 14, 1511–1531, 2021
https://doi.org/10.5194/gmd-14-1511-2021
Geosci. Model Dev., 14, 1511–1531, 2021
https://doi.org/10.5194/gmd-14-1511-2021

Model description paper 17 Mar 2021

Model description paper | 17 Mar 2021

snowScatt 1.0: consistent model of microphysical and scattering properties of rimed and unrimed snowflakes based on the self-similar Rayleigh–Gans approximation

Davide Ori et al.

Data sets

snowScatt-data Davide Ori, Leonie von Terzi, Markus Karrer, and Stefan Kneifel https://doi.org/10.5281/zenodo.4118243

Model code and software

snowScatt-v1.1 Davide Ori, Leonie von Terzi, Markus Karrer, and Stefan Kneifel https://doi.org/10.5281/zenodo.4118245

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Short summary
Snowflakes have very complex shapes, and modeling their properties requires vast computing power. We produced a large number of realistic snowflakes and modeled their average properties by leveraging their fractal structure. Our approach allows modeling the properties of big ensembles of snowflakes, taking into account their natural variability, at a much lower cost. This enables the usage of remote sensing instruments, such as radars, to monitor the evolution of clouds and precipitation.