Accurate microclimate data, obtained through observation or CFD models, is crucial for urban design and environmental improvements. Eddy3D is one the tool widely used for simulating microclimate conditions. However, the tool currently lacks the incorporation of relevant urban physics into the simulation. The present research focuses on integrating the modeling of convective heat transfer and relative humidity within the Eddy3D wind module and unsteady state modeling. The study reports the approaches through simulations employing a simplified canyon model. The study site is the campus of the Toronto Metropolitan University in Toronto, Ontario. The simulation data is validated using real-time data collected from the weather station located on the roof of one of the buildings on the downtown campus. By comparing the simulated data with the real-time data, the study assesses the effectiveness of the new features and determines their appropriateness for integration them into the Eddy3D tool. The findings highlight the adaptability and accuracy of the approach across various scenarios, effectively handling complex modeling to enhance the capabilities of microclimate predictions.