干旱气象 ›› 2021, Vol. 39 ›› Issue (06): 939-947.DOI: 10.11755/j.issn.1006-7639(2021)-06-0939

• 论文 • 上一篇    下一篇

石家庄暴雪的时空演变特征

阎访1(), 孙婧怡2, 范俊红3(), 岳艳霞1, 赵志楠4   

  1. 1.河北省石家庄市气象局,河北 石家庄 050081
    2.成都信息工程大学大气科学学院,四川 成都 610225
    3.河北省气象服务中心,河北 石家庄 050021
    4.河北省邢台市气象局,河北 邢台 054000
  • 收稿日期:2021-03-10 修回日期:2021-07-13 出版日期:2021-12-30 发布日期:2021-12-31
  • 通讯作者: 范俊红
  • 作者简介:阎访(1974— ),女,汉族,硕士,高级工程师,主要从事灾害性天气分析及气候变化研究工作. E-mail: 517008961@qq.com
  • 基金资助:
    中国气象局创新发展专项“河北省雪水比(SLR)客观预报方法研究”(CXFZ2021Z034子项目);河北省重点研发计划项目“飞机人工增雨云系结构及作业技术的观测研究”(20375402D);河北省气象局科研开发项目“冀中南部强降水云微物理结构研究”共同资助(20ky14)

Spatio-temporal evolution characteristics of snowstorm in Shijiazhuang

YAN Fang1(), SUN Jingyi2, FAN Junhong3(), YUE Yanxia1, ZHAO Zhinan4   

  1. 1. Shijiazhuang Meteorological Bureau of Hebei Province, Shijiazhuang 050081, China
    2. School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
    3. Public Meteorological Service Centre of Hebei Province, Shijiazhuang 050021, China
    4. Xingtai Meteorological Bureau of Hebei Province, Xingtai 054000, Hebei, China
  • Received:2021-03-10 Revised:2021-07-13 Online:2021-12-30 Published:2021-12-31
  • Contact: FAN Junhong

摘要:

基于石家庄17个国家地面气象观测站建站至2019年逐日降水资料,分析石家庄暴雪的时空变化特征,并运用Morlet小波分析、滑动t检验等方法,对代表不同地理环境的5个测站暴雪日数时间变化特征做进一步分析。结果表明:(1)石家庄暴雪日数呈自西向东逐渐减少的分布特征,山区多于平原,石家庄市区处于暴雪高发带;(2)石家庄暴雪初日最早在10月31日,终日最晚在4月19日;(3)1972—2019年,17站共出现暴雪42 d,大于等于3、7、10站次的暴雪分别占57.1%、35.7%、26.2%,全区性暴雪为4 d,仅占9.5%;(4)2000年以来暴雪日数占比最大,其中2005—2013年为暴雪多发期;(5)各站暴雪日数在全时域内准周期和第一主周期均为10 a以上的长时间尺度,2014年之后各代表站均处于暴雪偏少期;(6)4个代表站的暴雪日数时间序列存在突变现象;(7)石家庄暴雪日降水量的极大值和均值空间分布均表现为山区大于平原,大值中心在石家庄市区。

关键词: 暴雪, 时空特征, 石家庄

Abstract:

Based on daily precipitation data of 17 national ground meteorological observation stations in Shijiazhuang since their establishment to 2019, the temporal and spatial characteristics of snowstorm days were analyzed, and the temporal variation characteristics of snowstorm days at 5 representative stations with different geographical environments were further analyzed by using Morlet wavelet analysis and sliding t-test methods. The results are as follows: (1) The snowstorm days decreased gradually from west to east in Shijiazhuang, and there were more snowstorm days in mountain area than in plain, and the urban area of Shijiazhuang was in a high value zone of snowstorm days. (2) The starting date of snowstorm in Shijiazhuang was October 31 at the earliest, and the ending date was April 19 at the latest. (3) From 1972 to 2019, there were 42 days of snowstorm at 17 stations, and greater than or equal to 3, 7 and 10 stations occurring snowstorm accounted for 57.1%, 35.7% and 26.2%, respectively. The snowstorm occurring in the whole region was only 4 days and accounted for 9.5%. (4) The percentage of snowstorm days since 2000 was the largest, and during 2005-2013, snowstorm occurred frequently. (5) The quasi-period and the first major period of snowstorm days in the whole time domain were both more than 10 years at each station, and it was in the period of less snowstorm after 2014 at five representative stations. (6) The time series of snowstorm days at 4 representative stations were abrupt. (7) The spatial distribution of maximum and average precipitation on snowstorm days in Shijiazhuang showed larger in mountain area than in the plain, and the large value center was in the urban area of Shijiazhuang.

Key words: snowstorm, spatio-temporal characteristics, Shijiazhuang

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