Ozone (O3) is an air pollutant that affects human health and the ecosystem. Ozone formation in the lower troposphere is a photochemical process, and nitrogen oxides and volatile organic compounds are its precursor species. This study aimed to evaluate the performance of the WRF-Chem model in estimating the amount of NO2 and O3 in Tehran city during a day in summer 2019 with high O3 concentration. Evaluations were performed in two stages: (I) area evaluation and (II) station evaluation. The area evaluation showed that the simulated maximum NO2 in the Tehran region was consistent with OMI satellite data. Also, the WRF-Chem model showed good performance in simulating the maximum O3 in Tehran. In the station evaluation, the values of statistical indices were calculated between the model simulation results and the station values for NO2 and O3 concentrations. The station evaluation showed the WRF-Chem model overestimates surface ozone concentration and underestimates surface NO2 concentration.