Li Chunyang, Abulikemu Abuduwaili, Xu Xin, Zhang Shushi, Li Zhiyi, Ma Mingjie, Abuduaini Abidan, Kadier Zulipina
Xinjiang Key Laboratory of Oasis Ecology, College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, China.
Key Laboratory of Mesoscale Severe Weather (Ministry of Education), School of Atmospheric Sciences, Nanjing University, Nanjing, China.
Sci Rep. 2025 Jul 1;15(1):20934. doi: 10.1038/s41598-025-06474-z.
This study employs the PCT objective classification method to analyze 134 regional snowstorm events in northern Xinjiang (NX) during 1953-2022 using observational and reanalysis data, identifying four primary synoptic types that are all associated with polar vortex activity. This study investigated the snowstorm characteristics associated with the synoptic patterns, along with the features of upper- and lower-level jet streams and moisture transport. The results show that 66.4% of cases are related to eccentric polar vortex patterns while 33.6% are connected to dipole vortices, with each synoptic type exhibiting distinct formation mechanisms. The research demonstrates that variations in upper- and lower-level jets directly influence snowstorm frequency and spatial distribution, while also affecting moisture transport characteristics. Moisture is primarily transported into the region through western boundaries and out through eastern boundaries, with significant additional input from northern boundaries, patterns that are fundamentally determined by differences in large-scale circulation systems. These findings provide important insights into the atmospheric dynamics governing snowstorm formation in NX.
本研究采用PCT客观分类方法,利用观测数据和再分析数据,对1953 - 2022年期间新疆北部(NX)的134次区域性暴雪事件进行分析,识别出四种均与极地涡旋活动相关的主要天气形势类型。本研究调查了与这些天气形势相关的暴雪特征,以及高低空急流和水汽输送的特征。结果表明,66.4%的案例与偏心极地涡旋模式有关,33.6%与偶极涡旋有关,每种天气形势类型都有独特的形成机制。研究表明,高低空急流的变化直接影响暴雪频率和空间分布,同时也影响水汽输送特征。水汽主要通过西部边界输送到该地区,并通过东部边界输出,北部边界有显著的额外水汽输入,这些模式从根本上由大尺度环流系统的差异决定。这些发现为NX地区暴雪形成的大气动力学提供了重要见解。