Articles | Volume 14, issue 10
Atmos. Meas. Tech., 14, 6851–6866, 2021
Atmos. Meas. Tech., 14, 6851–6866, 2021

Research article 25 Oct 2021

Research article | 25 Oct 2021

Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images

Jussi Leinonen et al.

Data sets

Support data and codes for the evaluation experiment section of the paper: "Mass and geometry reconstruction of snowfall particles from multi angle snowflake camera (MASC) images" J. Grazioli, J. Leinonen, and A. Berne

Model code and software

3D GAN code and example J. Leinonen and J. Grazioli

jleinonen/aggregation J. Leinonen

Short summary
Measuring the shape, size and mass of a large number of snowflakes is a challenging task; it is hard to achieve in an automatic and instrumented manner. We present a method to retrieve these properties of individual snowflakes using as input a triplet of images/pictures automatically collected by a multi-angle snowflake camera (MASC) instrument. Our method, based on machine learning, is trained on artificially generated snowflakes and evaluated on 3D-printed snowflake replicas.