Snowfall Rate Estimation Based On Disdrometer During ICE-POP

Accurate estimation of snowfall rate and ice water content (IWC) during snow storms is crucial. These estimates will have a direct impact on the hydrological and atmospheric models. The density of snow plays a very important role in estimating the snowfall rate and IWC. In this paper, the density of snow is investigated for a huge snowstorm event during the International Collaborative Experiment held during the PyeongChang 2018 Olympics and Paralympic winter games (ICE-POP 2018). The density is calculated using the terminal velocities and diameters of the snow particles measured by disdrometer. The effect of snow density on the snowfall rate and IWC is studied using the density derived using the disdrometer measurements. The snowfall rate and IWC values obtained using the disdrometer measurements is compared with the results estimated with different density-size relationships (ρs-D) reported in the literature and their results are discussed.