Tropics nurture three different types of convective clouds, i.e., shallow cumulus, cumulus congestus, and deep cumulonimbus. The vertical structure of clouds holds a crucial metric in studying tropical clouds. Ground-based high-resolution cloud radar measurements are the potential candidate in exploring the characteristics of various types of tropical clouds and their evolution. Quality-controlled cloud radar data containing a total of five million vertical profiles of equivalent reflectivity factor (VPR) are used to examine the intra-seasonal variation of cloud vertical structure (VSC) during the Indian summer monsoon (ISM) over Mandhardev (18.04° N, 73.87° E, and ~ 1.3 km AMSL) in the Indian Western Ghats. The cumulus congestus (Cc) in the transition of shallow to deep clouds is investigated for the first time using the hourly VPR data for 60 consecutive ISM days. Mid-level moistening plays a vital role in this non-precipitating shallow to precipitating congestus transformation and increment of the rain accumulation. Low cloud reflectivity distribution can distinguish precipitating and non-precipitating clouds that help to classify the observed monsoon as normal or below normal. More than 150 mm of rain accumulation during ISM is associated with more than 22% of high clouds. This particular aspect indicates that cold rain processes are essential to assess the ISM over the observational site. FFT analysis on the time series of low-, mid-, and high-level cloud regions with the VPR shows prominent intra-seasonal variability of 5–10, 10–20, and 30–60 days periodicities. This study highlights the significance of VSC over tropics pertinent to the monsoon large scale atmospheric condition.

热带地区培育了三种不同类型的对流云，即浅积云，充血积云和深积雨云。云的垂直结构是研究热带云的关键指标。基于地面的高分辨率云雷达测量是探索各种热带云的特征及其演变的潜在候选者。质量受控的云雷达数据包含总共五百万个等效反射率因子（VPR）的垂直剖面，用于检查印度夏季风（ISM）曼德哈列夫（18.04°）期间云垂直结构（VSC）的季节内变化。印度洋西高止山脉（N. 73.87°E，约1.3公里AMSL）。使用连续60天ISM的每小时VPR数据，首次调查了浅云到深云过渡期间的积云（Cc）。在这种非降水型浅水向降水型充血转变和雨水蓄积增加的过程中，中等水平的加湿起着至关重要的作用。低云层反射率分布可以区分降水云层和非降水云层，有助于将观测到的季风归类为正常或低于正常。ISM期间150毫米以上的降雨积聚与22％以上的高云有关。这个特定方面表明，冷雨过程对于评估观测站点的ISM至关重要。利用VPR对低，中和高云区域的时间序列进行FFT分析，显示出季节内5-10、10-20，和30-60天的周期。这项研究强调了VSC在热带气候中与季风大规模大气条件有关的重要性。