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李山山, 王晓芳, 李国平, 高媛, 周文. 2023: 短时强降水和持续性强降水的雨滴谱特征对比. 暴雨灾害, 42(1): 1-12. DOI: 10.12406/byzh.2022-119
引用本文: 李山山, 王晓芳, 李国平, 高媛, 周文. 2023: 短时强降水和持续性强降水的雨滴谱特征对比. 暴雨灾害, 42(1): 1-12. DOI: 10.12406/byzh.2022-119
LI Shanshan, WANG Xiaofang, LI Guoping, GAO Yuan, ZHOU Wen. 2023: Comparative analysis on characteristics of raindrop spectrum of short-term and persistent heavy rain. Torrential Rain and Disasters, 42(1): 1-12. DOI: 10.12406/byzh.2022-119
Citation: LI Shanshan, WANG Xiaofang, LI Guoping, GAO Yuan, ZHOU Wen. 2023: Comparative analysis on characteristics of raindrop spectrum of short-term and persistent heavy rain. Torrential Rain and Disasters, 42(1): 1-12. DOI: 10.12406/byzh.2022-119

短时强降水和持续性强降水的雨滴谱特征对比

Comparative analysis on characteristics of raindrop spectrum of short-term and persistent heavy rain

  • 摘要: 短时强降水和持续性强降水的雨滴谱特征因冷云和暖云过程不同有时会存在较大差异,分析两者雨滴谱特征的差异有助于深入了解不同类型强降水的微物理特征,对提高雷达定量估测降水精度起到一定作用。以2018年6月湖北省一次由西南低涡产生的短时强降水(SHR)和持续性强降水(PHR)过程为例,利用自动站气象站资料、CINRADA/SA多普勒天气雷达产品、DSG5型降水现象仪雨滴谱资料以及ERA5再分析资料,对比分析了SHR和PHR的雨滴谱特征及其拟合的雷达反射率因子(Z)-雨强(R)关系(Z=aRb)的差异。结果表明:(1)SHR过程的对流云降水各粒径(D)平均数浓度高且粒径大,与其内部活跃的冰相过程和暖云层中的雨滴碰并、碰撞-破碎微物理过程相关;PHR过程的层状云降水小粒径(D < 2 mm)平均数浓度高而中、大粒径的平均数浓度低。(2)归一化Gamma谱截距参数(lgNw)和质量加权平均直径(Dm)分布显示SHR过程的谱型分布更广,具有较大的Dm和较小的lgNw,对流、层状云降水分离线的斜率更小。(3)SHR和PHR过程对流云降水的Z-R拟合关系式分别为Z=183.33R1.56Z=169.74R1.49,大雨强(R>60 mm·h-1)时SHR对流云降水Z-R拟合关系式Z=428.38R1.37与多普勒天气雷达经典大陆性对流云降水Z-R关系式(Z=300R1.40)相比,其b值更加接近而a值偏大。给定Z,利用SHR过程Z-R拟合关系式估测的雨强偏弱,主要是因其存在少量大粒子所致。

     

    Abstract: There are sometimes great differences in the raindrop spectrum characteristics between short-term heavy rain (SHR) and persistent heavy rain (PHR) due to the different of cold cloud and warm cloud processes. Analyzing the difference of raindrop spectrum characteristics between SHR and PHR is helpful to understand the microphysical characteristics of the different types of heavy precipitation, which can play an important role in improving the estimation accuracy of radar quantitative precipitation. Taking an event with SHR and PHR processes caused by the Southwest China vortex in June 2018 in Hubei as an example, based on the observations from the automatic weather stations, CINRADA/SA Doppler weather radar data, raindrop spectrum from DSG5 precipitation phenomenon instruments, and the ERA5 reanalysis data, we comparatively analyzed the raindrop spectrum characteristics between SHR and PHR, and discussed their difference in the radar reflectivity (Z)-rainfall (R) relationship (Z=aRb) by fitting analysis. Results are as follows. (1) In the SHR process of this event, the average number concentration (ND) in the each particle size (D) is high, and the particle size is large for the convective cloud precipitation, which is related to the active ice phase process in the internal and the coalescence and collision-breakup process of raindrops in the warm cloud layer. While in the PHR process of this event, the ND of small particle size (D < 2mm) is high but the ND of medium and large particle size is low for the stratiform cloud precipitation. (2) Distribution of the normalized Gamma spectral intercept parameter (lgNw) and the mass weighted average diameter (Dm) shows that the SHR process has a wider raindrop spectrum, larger Dm and smaller lgNw, and the slope of separation line of convective-stratiform cloud precipitation is smaller. (3) The Z-R fitting formulas for the convective cloud precipitation in the SHR and PHR processes are Z=183.33 R1.56 and Z=169.74 R1.49, respectively. When the rain intensity (R) is greater than 60 mm·h-1, compared with the typical Z-R fitting formula (Z=300R1.40) for Doppler weather radar, the Z-R fitting formula (Z=428.38R1.37) for the convective cloud precipitation in the SHR process have a similar b value but a larger a value. If given Z, the R estimated by the Z-R fitting formula of SHR is weaker than that of PHR, which is caused by the existence of a small number of large particles.

     

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