Next-generation Global Storm Resolving Models (GSRMs) are a novel way to understand weather and climate events across scales to better inform climate impact studies. In this presentation, we will focus on recent studies applying the newly developed and validated CAM (Community Atmosphere Model) - MPAS (Model for Prediction Across Scales) modeling framework, based on the open-source Community Earth System Model (CESM2), to examine: I) precipitation intensity, duration, and frequency at convection-permitting scales; II) the tropical convection features at storm resolving scale over the Maritime Continent region at 3 km horizontal spacing. We compose refined meshes of 3km covering the study regions and 60 km over the rest of the globe. We will discuss how the CAM-MPAS performs when reaching storm-resolving scales. Results show realistic temporal and spatial representations of precipitation over the refined complex terrain. We also investigate representation of convective systems, precipitation statistics, and tropical cyclones. The regional-refined experiments show improved daily precipitation statistics and diurnal cycle. Tropical cyclone metrics are also improved. These results pave the way for global CAM-MPAS experiments at storm-resolving resolution, and suggest they will produce realistic regional climate variability, fine-scale features, and extremes. This next-generation storm-resolving model could advance better-informed climate predictions and impacts across scales.