Abstract:Using the daily ground data from 105 stations in Xinjiang, climate indices such as Arctic Oscillation (AO), NOAA satellite outgoing long-wave radiation (OLR) data, and Global Data Assimilation System (GDAS) data, we analyzed the changes in climate patterns before and after the cold wave process, tracked the source of cold air during the cold wave process, and explored the characteristics of the cold wave process in Xinjiang during the winter of 2023/2024. The results indicate that Xinjiang experienced 2 cold wave events during the 2023/2024 winter, which is 0.4 more than the long-term average. The average intensity of these cold waves was 2.39, 0.65 stronger than the long-term average.The negative anomaly of AO, the enhancement of meridional circulation, and the decrease of OLR are all conducive to the occurrence and development of cold wave processes in Xinjiang. The cold air path of the cold wave process in Xinjiang in the winter of 2023/2024 is divided into westward and northwestward paths. Through the three-dimensional spatial distribution of cold air trajectories at different heights, it is found that the cold air is mainly concentrated at 400 hPa and 750 hPa. Paying attention to its changes is of great significance for guiding the prediction of the winter cold wave process in the extended period.