MASCDB, a database of images, descriptors and microphysical properties of individual snowflakes in free fall.

ABSTRACT: Snowfall information at the scale of individual particles is rare, difficult to gather, but fundamental for a better understanding of solid precipitation microphysics. In this article we present a dataset (with dedicated software) of in-situ measurements of snow particles in free fall. The dataset includes gray-scale (255 shades) images of snowflakes, co-located surface environmental measurements, a large number of geometrical and textural snowflake descriptors as well as the output of previously published retrieval algorithms. These include: hydrometeor classification, riming degree estimation, identification of melting particles, discrimination of wind-blown snow, as well as estimates of snow particle mass and volume. The measurements were collected in various locations of the Alps, Anta

SUBMITTER: Grazioli J 

PROVIDER: S-EPMC9065139 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature