主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2022, Vol. 38 ›› Issue (5): 49-56.doi: 10.3969/j.issn.1673-503X.2022.05.006

• 论文 • 上一篇    下一篇

1970—2019年内蒙古大兴安岭林区降雪特征分析

郝晨阳1(),马秀枝1,*(),李长生2,田泓2,张茹1,吴昊3,武玉龙2   

  1. 1. 内蒙古农业大学林学院, 内蒙古呼和浩特 010019
    2. 呼和浩特市气象局, 内蒙古呼和浩特 010051
    3. 内蒙古自治区气象干部培训学院, 内蒙古呼和浩特 010051
  • 收稿日期:2021-01-17 出版日期:2022-10-28 发布日期:2022-11-04
  • 通讯作者: 马秀枝 E-mail:1204190866@qq.com;luckmxy@imau.edu.cn
  • 作者简介:郝晨阳, 女, 1992年生, 在读硕士研究生, 主要从事气候变化方面的研究, E-mail: 1204190866@qq.com
  • 基金资助:
    中国科学院战略性先导科技专项(A类)子课题“欧亚大陆温性草地生态系统的退化与应对”(XDA20050103);内蒙古自然科学基金“寒温带兴安落叶松林区积雪覆盖对土壤C、N循环关键过程的影响”(2018MS03043)

Characteristics of snowfall events in Daxing'anling forest region from 1970 to 2019 in Inner Mongolia Autonomous Region

Chen-yang HAO1(),Xiu-zhi MA1,*(),Chang-sheng LI2,Hong TIAN2,Ru ZHANG1,Hao WU3,Yu-long WU2   

  1. 1. Forestry College of Inner Mongolia Agricultural University, Hohhot 010019, China
    2. Hohhot Meteorological Service, Hohhot 010051, China
    3. Inner Mongolia Meteorological Cadre Training Academy, Hohhot 010051, China
  • Received:2021-01-17 Online:2022-10-28 Published:2022-11-04
  • Contact: Xiu-zhi MA E-mail:1204190866@qq.com;luckmxy@imau.edu.cn

摘要:

基于1970—2019年内蒙古大兴安岭林区11个气象站逐日降水量和温度资料, 提取降雪数据, 采用趋势分析法、距平法、M-K突变法、滑动t检验法等, 分析了大兴安岭林区降雪的时空变化特征。结果表明: 大兴安岭林区总降雪量和各等级降雪量均呈增加趋势, 其中小雪和暴雪的降雪量增加趋势较小; 小雪和中雪量在21世纪00年代达到最大值, 大雪和暴雪量在21世纪10年代达到最大值; 各等级降雪量对总降水量的贡献率为小雪>中雪>大雪>暴雪; 各等级降雪量年内月变化均呈M型分布, 总降雪量高峰出现在11月; 总降雪量在1995年有显著突变, 小雪、中雪、大雪、暴雪降雪量无显著突变年份。空间上总降雪量和各等级降雪量(除暴雪外)大体呈北多南少、西多东少的变化趋势。大兴安岭林区降雪初始日呈延后趋势, 终止日呈提前趋势, 雪季长度呈每10 a缩短2.3 d的趋势。

关键词: 不同等级降雪, 降雪贡献率, M-K突变法

Abstract:

Based on the daily precipitation and temperature data of eleven meteorological stations in Daxing'anling forest region in Inner Mongolia Autonomous Region from 1970 to 2019, the spatial and temporal variation characteristics of snowfall in this region were analyzed using trend analysis method, anomaly method, M-K mutation method and sliding t-test method after extracting the snowfall data.The results show that the total snowfall and all grades of snowfall indicate an increasing trend in the Daxing 'anling forest region, and the increasing trends of light snow and heavy snow were small.The amounts of light and moderate snow reach the maximum in the 2000s, and the amounts of heavy snow and snowstorm reach the maximum in the 2010s.The contribution rate of snowfall in each grade to the total precipitation is as follows: light snow>moderate snow>heavy snow>snowstorm.The monthly variation of snowfall in all grades shows an "M" shape, and the peak value of total snowfall occurs in November.In terms of mutation, the total snowfall has a significant mutation in 1995, while the snowfall of light snow, moderate snow, heavy snow, and heavy snow has no significant mutation.In space, the total snowfall and the snowfall of each grade (except snowstorms) generally show a trend, with more in the north and less in the south, more in the west, and less in the east.In the forest area, the beginning day of snowfall is delayed, and the end day is advanced.The length of the snow season is shortened by 2.3 days every 10 years.

Key words: Different grades of snowfall, Snow contribution rate, M-K mutation method

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