In this article we have analyzed 10 number of thermodynamic stability indices for the city Kolkata in India for which we have studied the upper air RSRW data of 00 UTC during the pre-monsoon season i.e. March–May of 2016–2018. We have determined the optimal threshold values and associated skill scores for those thermodynamic indices and among those, obtained the suitable indices which are more relevant for predicting thunderstorm events. Finally, we have proposed a new scheme as a tool for predicting thunderstorm in the form of a binary classifier i.e. whether thunderstorm will occur or not in a day. Verification of accuracy has been carried out for the premonsoon of 2020. Comparison of the performance of the proposed scheme with that of latest operational thunderstorm prediction methods in India reveals that the proposed scheme is showing better prediction skill.

在本文中，我们分析了印度加尔各答市的 10 个热力学稳定性指数，我们研究了季风前季节（即 2016-2018 年 3 月至 5 月）00 UTC 的高空 RSRW 数据。我们已经确定了这些热力学指数的最佳阈值和相关技能分数，并从中获得了与预测雷暴事件更相关的合适指数。最后，我们提出了一种新方案，作为以二元分类器的形式预测雷暴的工具，即一天内是否会发生雷暴。已对 2020 年的季前风进行了准确性验证。