The Role of Instability Indices in Forecasting Thunderstorm and Non-Thunderstorm Days across Six Cities in India

Thunderstorms are one of the most damaging natural hazards demanding in-depth understanding and prediction. These convective systems form in an unstable environment which is quantitatively expressed terms instability indices. indices studied over six locations across Indian landmass attempt to predict thunderstorm activity on any given day. A combination multiple regression, logistic range analysis provides new insight into prediction these storms. supervised machine learning-based regression model developed this study for Patna can be further extended operational forecasting region. Critical thresholds determined considered providing valuable domain Thunderstorm