摘要
文章利用2010-2020年冬季(11月-次年3月)长白山池北区、池西区逐日降水、气温资料,以及Micaps实况数据资料等,统计分析25场大到暴雪及以上降水天气过程的时空分布规律,探讨其高低空系统配置、水汽来源、锋区强度、降水相态等天气特征。结果表明:在时间分布上,秋末、春初(11月、3月)大到暴雪日数最多,12月和2月次之,1月无大到暴雪天气;在空间分布上,池西区日数及平均降雪量均多于池北区;降水强度与影响系统、水汽来源、锋区强度密切相关;雨雪转换季节可将冷暖平流强度、降水开始时间作为着眼点来判断降水相态。
The article uses daily precipitation and temperature data from the northern and western districts of Changbaishan for the winter months of November to March from 2010 to 2020,as well as Micaps real-time data,a statistical analysis was conducted on the spatiotemporal distribution patterns of 25 precipitation events classified as heavy to blizzard-level and above.The study explored weather characteristics such as the configuration of high and low-altitude systems,water vapor sources,frontal intensity,and precipitation phase.The results indicate that,in terms of temporal distribution,the highest number of heavy to blizzard-level precipitation days occurs in late autumn and early spring(November and March),followed by December and February,with no such events in January.In terms of spatial distribution,the western district experiences more days and higher average snowfall compared to the northern district.Precipitation intensity is closely related to the influencing system,water vapor source,and frontal intensity.During the transition season between rain and snow,the intensity of cold and warm advection,as well as the start time of precipitation,can be used as key indicators to determine the precipitation phase.
作者
李玥
李楠
王华
范玉鑫
马吉晖
崔佳龙
邱英强
Li Yue;Li Nan;Wang Hua;Fan Yuxin;Ma Jihui;Cui Jialong;Qiu Yingqiang(Jilin Institute of Meteorological Sciences,Changchun 130062;Changbai Mountain Meteorological and Climate Change Key Laboratory of Jinlin Province,Changchun 130062;Changbai Mountain Meteorological Bureau,Antu 133613;Jilin Meteorological Service Center,Changchun 130062;Jilin Provincial Meteorological Service Center,Changchun 130062;Tonghua Meteorological Bureau,Tonghua 134100;Tumen Meteorological Bureau,Yanbian 133100)
出处
《气象水文海洋仪器》
2025年第6期82-85,共4页
Meteorological,Hydrological and Marine Instruments
基金
粮食主产区重大复合农业气象灾害监测预警评估技术与应用研究(2019QYLH3-2)资助。
关键词
长白山地区
大到暴雪
时空分布特征
水汽来源
降水相态
Changbai Mountain area
heavy to blizzard
spatiotemporal distribution characteristics
moisture sources
precipitation phase state
