J4 ›› 2008, Vol. 26 ›› Issue (2): 57-62.

• 论文 • 上一篇    下一篇

石家庄地区近46 a温度变化特征

卞 韬,连志鸾   

  1. 河北省石家庄市气象局,河北 石家庄050081)
  • 收稿日期:2008-04-17 修回日期:2008-05-08 出版日期:2008-06-30 发布日期:2008-06-30
  • 作者简介:卞韬(1977 - ) ,女,河北鹿泉人,工程师,现从事天气预报工作. E - mail: biantao4680@sina. com

Character istics of Tempera ture Var ia tion in Sh ijiazhuang in Recen t 46 Years

B IAN Tao, L IAN Zhiluan   

  1. Shijiazhuang Meteorological B ureau of Hebei Province, Shijiazhuang 050081, China
  • Received:2008-04-17 Revised:2008-05-08 Online:2008-06-30 Published:2008-06-30

摘要:

利用石家庄地区1961~2006年5个气象站气温资料,分析了该地区的平均气温、平均最高气温、平均最低气温、平均日较差以及炎热日和寒冷日的年际以及各月的变化特征。分析结果表明,近46 a来,石家庄地区的气候显著增暖,平均气温冬季增暖幅度最大,夏季最小, 2月份增暖幅度最大, 5月份最小。与平均气温变化趋势相一致,最高温度和最低温度也呈上升趋势,其中最低温度的升高趋势远大于平均气温和最高温度。石家庄地区中东部增暖幅度较大。近46 a平均日较差显著减小,这主要是因为最低气温的升高幅度大于最高气温。寒冷日数显著减少,炎热日数增加不明显,西部、北部和南部的炎热日数甚至呈弱的减少趋势。

关键词: 温度变化, 日较差, 炎热日数, 寒冷日数

Abstract:

Based on the daily temperature observation data of 5 stations in Shijiazhuang during 1961 - 2006, the trends and characteristics of the daily mean temperature, the maximum and minimum daily temperature, the temperature daily range, aswell as the hot and cool days were analyzed. The results show that the climate in Shijiazhuang had obviously warming trends in the recent 46 years, with the strongestwarming trends in winter. Monthly temperature changes show that the most obvious amp litude was in February and the weakest was inMay. Similar to themean temperature, both the maximum andminimum temperature were in a rising trend aswell. The rising trend ofminimum temperature was clearer than the maximum and mean temperature. The strongest warming trend occur in the middle and the eastern part of Shijiazhuang. Temperature daily range was remarkably getting narrower in the recent 46 years. Thiswas probably due to the greater increase inminimum temperature thanmaximum temperature. The cool dayswere decreasing but the change of hot days was not obvious. Hot days in the western, northern and southern part of Shijiazhuang show weak decreasing trend.

Key words: temperature variation, daily temperature range, hot days, cool days
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