Green infrastructure (GI) has emerged as a promising cooling strategy to mitigate urban heat islands and reduce hotspots in arid climate regions. However, accurately quantifying GI’s cooling effects at a local scale remains challenging due to complex interdependencies within the built environment. This study utilizes ENVI-met V7, a high-resolution landscape computational fluid dynamic (CFD) model, to simulate microscale climate interactions, focusing on the King Abdullah University of Science and Technology (KAUST) campus area. Specifically, the research examines how the shape and configuration of green space on campus impact localized cooling and the consequent energy reduction in the surrounding built environment during a heatwave. The results underscore the context-specific nature of GI’s cooling capacity, highlighting significant influences from ground topography, plant species, configuration, and materials of the surrounding built environment. Insights from this study provide a basis for optimizing landscape interventions—incorporating green infrastructure, blue infrastructure, and cool materials—to maximize cooling benefits. The results indicate that green infrastructure can reduce surrounding air temperature during summertime at 14:00 by around 0.88 °C, while blue infrastructure has the greatest cooling effect of 1.47 °C. These findings contribute to developing integrated, site-specific strategies for enhancing climate resilience in arid urban settings.