Snow distribution is an important factor that controls the ground thermal regime and influences permafrost thaw and glacier mass loss, because snow is a very effective insulator. These ground-snow dynamics are influenced on a microscale from redistribution of snow by wind, known as snowdrift, because it leads to heterogenous snow accumulation. Nevertheless, snowdrift is poorly researched so that models rely on wind speed as a proxy. I addressed this research gap with a detailed characterization of snowdrift events and their drivers. For this, I used 30-minutes averaged snow flux data from the acoustic FlowCapt4 sensor together with meteorological and snow data at Bayelva station from September 2024 to September 2025. I developed a quality assessment and defined snowdrift events. With this, I identified 73 snowdrift events in the season which have a great variety in their meteorological conditions, snow characteristics and their drivers. This demonstrates the complexity of snowdrift events in their drivers and frequency. Nevertheless, just one of these events accounts for 50% of the total snow transport during the whole season. The results emphasize that more integrated research is needed to further examine snowdrift events as well as evaluate their impact on the cryosphere.