What is already known:
What this study adds:
The numerical weather prediction community is seeking a common dynamical core to improve forecasts across a range of space and time scales, which motivated the development of the Unified Forecast System (UFS). The community-driven UFS uses the Finite Volume Cubed-Sphere (FV3) as its core. The FV3-based models are relatively untested at a convective-allowing scale. This study compares the performance of the UFS-FV3 and the WRF-ARW and verifies their respective simulations with radar data and verification metrics, such as initiation, timing, movement, and placement of convection. The case being examined is 28 April 2021 where large hail impacted the metropolitan areas of Norman, OK and San Antonio, TX. Both models had similar initiation, timing, and movement in both locations. Both models struggled to predict the hail event in Norman, OK due to the relative positioning of the storm and a cold front. While in San Antonio, the WRF predicted a strong storm with better placement, in regards to the radar, than the UFS. The WRF hailcast also predicted the severe hail threat to the west of San Antonio. The UFS hailcast, on the other hand, predicted abnormally small hail to the east and southeast of San Antonio, where no hail was reported. These findings highlight the need to further test the UFS hailcast scheme with the FV3-core.