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 ›› 2016, Vol. 32 ›› Issue (1): 103-107.doi: 10.11927/j.issn.1673-503X.2016.01.015

• 简报 • 上一篇    下一篇

1974-2013年甘肃省冰雹气候时空变化特征

黄武斌1, 王研峰2, 黄玉霞1, 王琳3   

  1. 1. 兰州中心气象台, 甘肃兰州 730020;
    2. 甘肃省人工影响天气办公室, 甘肃兰州 730020;
    3. 成都信息工程学院, 四川成都 610225
  • 收稿日期:2015-02-11 修回日期:2015-04-28 出版日期:2016-02-28 发布日期:2016-02-28
  • 通讯作者: 王研峰,E-mail:wangyanfeng_1986@163.com。 E-mail:wangyanfeng_1986@163.com
  • 作者简介:黄武斌,男,1990年生,助理工程师,主要从事天气预报研究,E-mail:hwb0707@sina.com。
  • 基金资助:
    中国气象局气象关键技术集成与应用重点项目(CMAGJ2013Z09)和甘肃省气象局面上项目(2015-05)共同资助。

Spatial and temporal climatic characteristics of hail from 1974 to 2013 in Gansu province

HUANG Wu-bin1, WANG Yan-feng2, HUANG Yu-xia1, WANG Lin3   

  1. 1. Lanzhou Center Meteorological Observatory, Lanzhou 730020, China;
    2. Gansu Weather Modification Office, Lanzhou 730020, China;
    3. Chengdu University of Information Technology, Chengdu 610225, China
  • Received:2015-02-11 Revised:2015-04-28 Online:2016-02-28 Published:2016-02-28

摘要: 利用1974-2013年甘肃省80个气象站的冰雹观测资料,分析了甘肃省冰雹日数的时空变化特征。结果表明:1974-2013年甘肃省玛曲、乌鞘岭、华家岭、肃北和马鬃山为冰雹日数大值中心,与海拔高度具有明显的相似变化。甘南高原-临夏-武威地区4-10月为冰雹多发期,4月岷县站和5-10月玛曲站为冰雹多发极大值中心。近40 a甘肃省冰雹日数基本呈减少的趋势,河东地区冰雹日数减少趋势更明显,岷县-甘南高原和马鬃山地区为冰雹日数减少的两个极低值中心。甘肃省冰雹日数在1995年左右发生了显著减少,并存在3.3 a显著周期。

关键词: 冰雹日数, 气候特征, 功率谱

Abstract: Using hail data at 80 weather stations in Gansu province during 1974-2013, spatial and temporal characteristics of hail days were analyzed.The results show that the large value centers of hail days are located in Maqu, Wushaoling, Huajialing, Subei and Mazongshan, which is similar to elevation change.Hail weather often occurs in Gannan Plateau, Linxia, Wuwei areas during April to October, especially in Minxian station in April and Maqu station during May to October.It is in a decreasing trend for hail days in the recent 40 years, especially in Hedong region, and two low value centers are in Minxian-Gannan Plateau and Mazongshan.Number of hail days is reduced significantly since 1995 and has a 3.3 years cycle.

Key words: Hail days, Climate characteristics, Power spectrum

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