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冉令坤, 李振, 张雅斌, 齐彦斌. 2019: 一次北方暴雨的Q矢量诊断分析研究. 暴雨灾害, 38(1): 17-30. DOI: 10.3969/j.issn.1004-9045.2019.01.003
引用本文: 冉令坤, 李振, 张雅斌, 齐彦斌. 2019: 一次北方暴雨的Q矢量诊断分析研究. 暴雨灾害, 38(1): 17-30. DOI: 10.3969/j.issn.1004-9045.2019.01.003
RAN Lingkun, LI Zhen, ZHANG Yabin, QI Yanbin. 2019: The diagnostic analysis of Q vector during a heavy rain event in North China. Torrential Rain and Disasters, 38(1): 17-30. DOI: 10.3969/j.issn.1004-9045.2019.01.003
Citation: RAN Lingkun, LI Zhen, ZHANG Yabin, QI Yanbin. 2019: The diagnostic analysis of Q vector during a heavy rain event in North China. Torrential Rain and Disasters, 38(1): 17-30. DOI: 10.3969/j.issn.1004-9045.2019.01.003

一次北方暴雨的Q矢量诊断分析研究

The diagnostic analysis of Q vector during a heavy rain event in North China

  • 摘要: 考虑水汽相变的凝结潜热作用,引入广义位温,发展了包含广义位温的Q矢量,并在此基础上推导了非地转湿大气Omega方程。(1)包含广义位温的Q矢量是Omega方程的唯一强迫项,由拟涡度伸展矢量、锋生矢量和非绝热加热梯度等三项构成。(2)利用包含广义位温的Q矢量对一次北方夏季暴雨进行诊断分析,发现包含广义位温的Q矢量对降水区的垂直运动结构有良好指示意义,可以综合表征次级环流、锋生和锋消、大尺度和中尺度强迫等多种物理因素,而这些均是影响暴雨发生发展的重要因素,因而包含广义位温的Q矢量及其散度与强降水的发生发展密切相关。(3)利用美国全球预报系统24 h预报场对包含广义位温的Q矢量散度进行计算,结果表明预报的Q矢量散度在时间和空间上与观测6 h降水联系紧密,根据预报的Q矢量散度的异常能够判断降水的可能落区。

     

    Abstract: Considering the latent heating effect, a new form of Q vector containing the generalized potential temperature was derived. Based on this new Q vector, the corresponding non-geostrophic Omega equation was further developed. (1) The newly-derived Q vector consists of the enstrophy stretched vector, frontogenesis vector and the gradient of latent heating, and its divergence was the only forcing term in the Omega equation. (2) With the new Q vector, a heavy rainfall event occurred in North China was studied. It is found that the divergence of the Q vector can represent the structure of the vertical motions within the precipitation area. It comprehensively reflects the secondary vertical circulations, the frontogenesis and frontolysis, the large-scale and meso-scale forcing, etc. These physical processes are all important factors to the occurrence and development of heavy rainfall, and therefore the new Q vector showed a close relationship to the heavy precipitation. (3) Using the 24 h forecasting data from the Global Forecasting System to calculate the Q vector, the results showed that the forecasting Q vector convergence has close relationship with observed 6 h precipitation. This means that a prediction could be made based on the newly-derived Q vector.

     

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