Microphysical Properties of Snowfall for Different Snow Particle Habits During ICE-POP 2018

Snowfall has a strong damage on human life, transportation, industries, etc. However, the understanding microphysics of snowfall is still difficult due to their complex growth processes. Riming and aggregate are major growth processes of snow particles and have different microphysical properties of snow precipitation structure. Various habits of snow particles at the ground are related to atmospheric conditions and microphysical structures of snowfall. Therefore, in this study, we investigate the linkage between snow particle habits and vertical structures of snowfall using ground measurements and millimeter wavelength radar data. We use observation data obtained from ICE-POP 2018 (International Collaborative Experiments for Pyeongchang 2018 Olympic & Paralympic winter games) project from November 2017 to April 2018. The snow particle habits from Multi-Angle Snowflake Camera (MASC, Garrette et al. 2012) are classified to six categories by the machine learning techniques of Praz et al. (2017). We select two snowfall periods depending on snow particle habits (aggregate and graupel) from MASC to analyze the microphysical properties. The most selected periods of graupel type present shallow precipitation system that has cloud top less than 2 km. However, the precipitation system of aggregate period is divided two groups of vertically developed deep and shallow precipitation systems. We will add detail microphysical analysis of three groups classified by particle habit and vertical extend of snowfall. Acknowledgments: This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2020R1A6A1A03044834)