The city sky, when examined in terms of its microclimate and potential vehicle operations, remains largely uncharted. However, the era of Urban Air Mobility (UAM) is on the horizon. Ensuring the safe navigation of UAM vehicles requires an intimate understanding of the urban environment, as it will be their primary thoroughfare.

 Cities, with their array of tall buildings, present a challenging landscape. To grasp this environment, we've used a technique known as Large Eddy Simulation. Within this simulation, the effects of the city's buildings are incorporated using the Immersed Boundary Method. Further enhancing our research, we've also employed reduced-order modeling and utilized neural networks for predictive time series forecasting. Additionally, we're delving into ways to achieve a more detailed view of the city's air dynamics, aiming to provide accurate, real-time simulations of our urban skies.