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北京延庆冬季风寒温度分布特征及变化趋势

李林1,3乔媛2,孙雪琪3,范雪波3
伍永学3,于丽萍3,张治国3   

  1. 1.中国气象局北京城市气象研究所,北京100089;2.北京市气象服务中心,北京100089;
    3.北京市气象探测中心,北京100089
  • 出版日期:2018-12-31 发布日期:2018-12-31
  • 作者简介:李林(1979— ),高级工程师,主要从事综合气象观测技术研究工作.E-mail:lilin@bjmb.gov.cn。

Spatial-temporal Characteristics and Change Trend of Wind
 Chill Temperature in Winter in Yanqing of Beijing

LI Lin1,3, QIAO Yuan2, SUN Xueqi3, FAN Xuebo3
WU Yongxue3, YU Liping3, ZHANG Zhiguo3   

  1. 1. Institute of Urban Meteorology, CMA, Beijing 100089, China;2. Beijing Municipal Meteorological Service
     Center, Beijing 100089, China;3. Beijing Municipal Meteorological Observation Center, Beijing 100089, China
  • Online:2018-12-31 Published:2018-12-31

摘要:

风寒温度表征不同气温和风速组合对人体的冻伤风险与舒适状况,直接影响雪上运动安全性和体验感。针对2022年冬奥会气象服务需求,利用延庆地区21个气象站的冬季观测数据,研究分析风寒温度的时空变化特征。结果表明:(1)风寒温度高值区处于延庆盆地区域,低值区处于缙云山等高海拔地区,均存在中度冻伤风险;(2)佛爷顶站冬季平均风寒温度为-15.1 ℃,极端风寒温度达到-49.4 ℃,冻伤暴露风险等级为中度到严重;(3)风寒温度的日变化为单峰单谷型分布,月变化中风寒温度最低值出现在1月中下旬,最高值出现在2月下旬;(4)在2010年1月5日与2016年1月23日2次典型寒潮天气过程中,引起风寒温度极低值的原因存在明显差异,前者为温度主导,而后者为风速主导;(5)1978—2016年,延庆站冬季由于增温显著,导致风寒温度有明显上升趋势,而佛爷顶站温度增幅较小但由于风速有显著减小趋势,风寒温度也存在明显上升趋势。

关键词: 风寒温度, 分布特征, 变化趋势, 冬季

Abstract:

The wind-chill temperature (WCT) indicates comfort and the risk of frostbite from different combinations of temperature and wind speed, which directly affects the safety and experience of snow sports. According to the meteorological service demand of the 2022 Winter Olympic Games, the winter observation data of 21 meteorological stations in Yanqing area were used to study the temporal and spatial change trend of the WCT. The results are as follows: (1) The high WCT zone was in the Yanqing basin area, and the low value zone was in the high altitude area such as Jinyun Hill, both with a risk of moderate frostbite. (2) The average temperature of Foyeding station in winter was -15.1 ℃, the extreme WCT reached -49.4 ℃, and the risk level of frostbite exposure was from the moderate to severe. (3) The daily change of WCT presented a single-peak and a single-valley distribution, and the lowest value of that appeared in middle and late January in the monthly change while the highest occurred in late February. (4) During the typical cold wave weather of January 5, 2010 and January 23, 2016, there were significant differences in the causes of the extremely low value of WCT. The former was dominated by temperature, while the latter by wind speed. (5) During the period from 1978 to 2016, due to the significant increase in temperature in Yanqing station, WCT had a significant upward trend. The temperature increase of Foyeding station was small, but due to the significant decrease of wind speed, the WCT also had a significant upward trend.

Key words: wind chill temperature, spatial-temporal characteristics, change trend, winter