Abstract:Based on the AWS (Automatic Weather Stations) data, the sounding data of two arenas (Genting Snow Park and Guyangshu Cluster) in the Zhangjiakou competition area of the 2022 Beijing Winter Olympic Games, and the ECMWF ERA5 global 0.25°×0.25° reanalysis data in the winter of 2019 and 2020 (November to next February), the characteristics of the temporal and spatial distribution of snowfall and the circulation patterns in the Zhangjiakou competition area are analyzed. This study isolates the distinct synoptic types of snowfall into three patterns: low vortex-cyclone, cold front, and northwest airflow. The amount and duration of snowfall are distinct from one synoptic pattern to another. The low vortex-cyclone pattern causes the heaviest snowfall and the longest duration among the three patterns. The snowfall amount in Genting Snow Park is 16.9% larger than that in Guyangshu Cluster. The mean snowfall amount caused by the cold front pattern takes second place. Under this condition, the snowfall amount in Genting Snow Park is 44.4% larger than that in Guyangshu Cluster. The northwest airflow pattern results in the least snowfall amount and shortest duration, but the largest difference between the two clusters is that the snowfall amount in Genting Snow Park is 140% larger than that in Guyangshu Cluster.