This study explores how different assumptions in cloud microphysics affect the vertical distribution of hydrometeors during extreme precipitation events, such as atmospheric rivers. Using a combination of high-resolution weather simulations and radiative transfer modeling, we identify snow as the dominant contributor to the observed vertical signal. The analysis highlights the sensitivity of precipitation structure to particle properties, that could help refine atmospheric modeling approaches.