We evaluated a high-resolution numerical weather prediction model in a small, semi-arid U.S. city using dense ground-based measurements. While the forecasts demonstrated good skill for temperature and humidity, they consistently overestimated wind and underestimated nighttime cooling, with inaccurate heat advection predictions. The results highlight the need for improved urban representation in forecast models to better support heat warning systems for small cities.