This study investigates the lifecycle dynamics of a multicell hailstorm event that occurred over Konya, Türkiye on 8 June 2022, using high-resolution simulations from the Weather Research and Forecasting (WRF) model. The analysis integrates synoptic-scale diagnostics, mesoscale storm structure, cloud microphysics, radar-model comparisons, and wavelet-based spectral techniques to comprehensively characterize the storm's development, maturation, and dissipation. WRF simulations at multiple vertical and horizontal levels capture the atmospheric environment conducive to severe convection, including strong low-level warm advection, mid-level moisture surges, and upper-level divergence associated with a jet streak. Simulated convective evolution reveals a clear three-stage lifecycle: initiation at ~13:10 UTC with the development of vertically compact but intense convective towers; a mature phase between 14:30 and 14:50 UTC characterized by organized multicell structures, overshooting tops, and deep convective updrafts; and a dissipation phase after 16:30 UTC marked by weakening updrafts, fragmented cloud fields, and diminished hydrometeor content. Validation against radar MAX and Vertically Integrated Liquid (VIL) products shows strong agreement with WRF-simulated maximum reflectivity and Integrated Liquid Water Content (ILWC), especially during the mature phase. A continuous wavelet transform (CWT) applied to both model-derived reflectivity and ILWC time series reveals a dominant periodicity of approximately 75 min during the mature stage. This primary timescale is accompanied by shorter convective pulses of 20–30 min, likely linked to successive updraft regeneration and hydrometeor accumulation cycles. The strong coherence between dBZ and ILWC wavelet signals confirms the tight coupling between dynamic and thermodynamic storm processes. The integration of dynamical, thermodynamical, and spectral diagnostics provides a robust framework to quantify and classify the convective lifecycle of a multicellular hailstorm. Complementary spatiotemporal wavelet entropy diagnostics revealed the degree of temporal complexity, with moderate entropy during initiation, elevated values during the mature stage, and declining irregularity during dissipation, thereby providing a structural perspective on storm organization. These findings highlight the capacity of high-resolution models not only to simulate severe storm evolution, but also to uncover embedded temporal rhythms using wavelet-based methods, a.k.a. the heartbeat of multicell convection.