Bangladesh is one of the most disaster-prone countries and has been subjected to various natural and manmade disasters. One significant weather hazard is lightning discharges from thunderstorms, which result in the loss of lives and property due to frequent lightning activity during the pre-monsoon season (March to May) in Bangladesh. The purpose of this study is to assess how well the Weather Research and Forecasting (WRF) model performs in predicting the lightning potential index (LPI), the lightning threat index (LTI), and the product of convective accessible potential energy (CAPE) and precipitation (CAPE × P). The simulated LPI, LTI, and CAPE × P values are compared both qualitatively and quantitatively against ground-based lighting data obtained from the worldwide lightning location network (WWLLN).
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