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Raindrop Size Distribution and Rain Characteristics during the extreme events in the Tropical coastal station Thumba

机译:热带沿海台站Thumba极端事件期间的雨滴大小分布和降雨特征

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Drop size distributions observed by surface based disdrometer and vertical pointing micro rain radar during June and August 2018 extreme events over the coastal station Thumba are used to diagnose rain characteristics during intensive rainfall episodes. Rain integral parameters like Rainfall rates R, mass weighted median volume diameters Dm, reflectivity Z, drop size distributions (DSDs), and gamma DSD parameters were derived and compared between the micro rain radar and surface based disdrometer. Accumulated rainfall observed by disdrometer is in good agreement with the co-located tipping bucket measurements. Over a 4-day period (14 August 2018 to 17 August 2018), these extreme events generated 150 mm of rain. There exist a distinct DSD in two extreme rainfall events. Rainfall was characterized by a large number of small- to medium-sized raindrops (diameters smaller than 1.5 mm) resulting in small values of Z (40 dBZ), and Dm (<;2.5 mm). The disdrometer-derived Z-R relationships reflect how unusual the DSDs were during these extreme events. These data sets were stratified based on rainfall rate and results show that the extreme event DSD exhibit significant variation in the DSD compared to non-extreme events. The big drops are almost absent in extreme DSD, whereas the small and medium sized drops are larger in number than they are in non-extreme rain. The vertical profiles of DSD observed using MRR shows an interesting feature. The retrieved DSD profiles are divided into classified into (convective, transition and stratiform), based on classification scheme, to examine salient microphysical characteristics and the vertical variability of DSD in extreme events. DSD parameters estimated using gamma fit method revealed that these extreme events are dominated by small to medium size rain drops. The vertical extent of these extreme events is shallow in nature. From the observed vertical variation of DSD parameters and the median volume diameter various microphysical processes like drop sorting, coalescence, evaporation and breakup were assessed.
机译:在沿海台站Thumba于2018年6月至8月发生的极端事件中,基于地面的测速计和垂直指向的微雨雷达观测到的液滴尺寸分布用于诊断强降雨事件期间的降雨特征。得出了降雨积分参数,如降雨率R,质量加权中位体积直径Dm,反射率Z,液滴尺寸分布(DSDs)和伽玛DSD参数,并在微型降雨雷达和基于地面的测速仪之间进行了比较。测风仪观测到的累积降雨与并置倾翻桶的测量结果非常吻合。在4天的时间内(2018年8月14日至2018年8月17日),这些极端事件产生了150毫米的降雨。在两个极端降雨事件中存在一个独特的DSD。降雨的特点是大量中小型雨滴(直径小于1.5毫米)导致Z(40 dBZ)和D值较小 m (<; 2.5毫米)。由测速仪得出的Z-R关系反映了在这些极端事件中DSD的异常情况。这些数据集基于降雨率进行了分层,结果表明,与非极端事件相比,极端事件DSD的DSD表现出显着变化。在极端DSD中几乎没有大的水滴,而中小尺寸的水滴的数量要多于非极端降雨时的数量。使用MRR观察到的DSD的垂直剖面显示了一个有趣的特征。根据分类方案,将检索到的DSD剖面分为(对流,过渡和层状)分类,以检查极端事件中DSD的显着微物理特征和垂直变化。使用伽玛拟合法估算的DSD参数显示,这些极端事件主要是中小雨滴。这些极端事件的垂直范围本质上是浅薄的。从观察到的DSD参数的垂直变化和中值体积直径,评估了各种微物理过程,如液滴分选,聚结,蒸发和分解。

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