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李文娟, 赵放, 赵璐, 黄娟. 2017: 基于单站探空资料的不同强度短时强降水预报指标研究. 暴雨灾害, 36(2): 132-138. DOI: 10.3969/j.issn.1004-9045.2017.02.005
引用本文: 李文娟, 赵放, 赵璐, 黄娟. 2017: 基于单站探空资料的不同强度短时强降水预报指标研究. 暴雨灾害, 36(2): 132-138. DOI: 10.3969/j.issn.1004-9045.2017.02.005
LI Wengjuan, ZHAO Fang, ZHAO Lu, HUANG Juan. 2017: Study of the forecasting index for short-duration heavy rainfall with different intensities based on sounding data at Hangzhou. Torrential Rain and Disasters, 36(2): 132-138. DOI: 10.3969/j.issn.1004-9045.2017.02.005
Citation: LI Wengjuan, ZHAO Fang, ZHAO Lu, HUANG Juan. 2017: Study of the forecasting index for short-duration heavy rainfall with different intensities based on sounding data at Hangzhou. Torrential Rain and Disasters, 36(2): 132-138. DOI: 10.3969/j.issn.1004-9045.2017.02.005

基于单站探空资料的不同强度短时强降水预报指标研究

Study of the forecasting index for short-duration heavy rainfall with different intensities based on sounding data at Hangzhou

  • 摘要: 使用浙江省69个基准站2006—2015年5—9月以及同期杭州城区58个区域自动站小时降水资料,利用Gamma分布计算浙江省短时强降水的累积概率,同时综合其频率分布,揭示杭州市小时降水强度的分布特征。此外,以杭州市区为例,利用探空资料分析不同量级(≥50 mm·h-1、30~<50 mm·h-1、20~<30 mm·h-1、<20 mm·h-1)小时雨强出现的环境指标,并基于核密度估计方法提取预报指标。结果表明:杭州城区出现小于等于10 mm·h-1的降水概率高达98.4%,≥20 mm·h-1的概率仅0.05%;受杭州湾偏东气流影响,杭州市区发生短时强降水频率相对较高,尤其是余杭区的东部和西北山区;自2008年以来杭州市区每年短时强降水日数为18~28 d,其中大于等于50 mm·h-1的短时强降水日所占比例高达10%~20% (除2009年和2012年低于10%外);可用于预报杭州市区短时强降水的最佳环境因子依次为整层可降水量、K指数、最佳抬升指数、沙氏指数、925 hPa露点温度和强天气威胁指数;在判断杭州市区短时强降水强度上表现最好的环境因子为整层可降水量,其次是850 hPa垂直速度和925 hPa散度。

     

    Abstract: Using hourly rainfall data from 69 national automatic benchmark stations over Zhejiang Province and 58 regional automatic weather stations over the urban area in Hangzhou between May and September from 2006 to 2015, we have calculated the cumulative probability of short-duration heavy rainfall in Zhejiang by Gamma distribution function, and integrated their frequency distributions to investigate the characteristics of hourly rainfall intensity in Hangzhou. In addition, taking Hangzhou urban area as an example, the radiosonde dataset is used to analyze the environmental indices when hourly rain intensity occurred with different levels (≥50 mm·h-1, 30-50 mm·h-1, 20-30 mm·h-1and below 20 mm·h-1), from which we extract the forecasting indices based on the kernel density estimation method. The results show that the probability of less than 10 mm·h-1 precipitation at Hangzhou station is as high as 98.4%, and the probability that is equal to or greater than 20 mm·h-1 is only 0.05%. Due to the effect of easterly airstream from Hangzhou Bay, the frequency of more than 20 mm·h-1 heavy rainfall is relatively high in Hangzhou urban area, especially in the east part and northwest mountain region of Yuhang district in Hangzhou. The number of days of annual short-duration heavy rainfall ranges from 18 to 28 d in Hangzhou urban area since 2008, of which the percentage of days of short-duration heavy rainfall that is equal to or greater than 50 mm·h-1 accounts for 10%-20% of the total ones, except being less than 10% in 2009 and 2012. The most significant factor that can be used to predict the local short-duration heavy rainfall is atmospheric precipitable water, followed by K index, best uplift index, showalter index, dew point temperature at 925 hPa and sweat index in descending order of significance. The best factor in determining of the rainfall intensity in Hangzhou is again atmospheric precipitable water, followed by vertical velocity at 850 hPa and divergence at 925 hPa.

     

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