Air quality in the Middle East is changing due to extensive land conversion, intense industrialization and rapid urbanization. In this study we analyze data from an ozonesonde station operated in Doha, Qatar by the Qatar Environment and Energy Research Institute (QEERI). Ozonesondes were launched at 13:00 LT (10:00 UTC) weekly during a summertime month (August 2015) representative of extremely hot and humid atmospheric conditions and a wintertime period (January/February 2016) of cool conditions in the area. Unlike previous similar studies in the region, this work focuses on the lower troposphere and combines high frequency vertical measurement data with the use of the fully coupled Weather Research Forecasting model with Chemistry (WRF-Chem). A sensitivity study was conducted to identify the most representative planetary boundary layer parameterization. Although all three parameterizations that were examined produced similar result, the Yonsei University (YSU) planetary boundary layer (PBL) scheme was found statistically superior. Comparisons of model predictions against observations show high correlation coefficients and encouragingly low biases in all meteorological variables. During wintertime, ozone is overall well predicted (Fractional Bias = –0.1) while the summertime comparison is more challenging pointing towards possible biases in the anthropogenic emission inventory of the Middle East, especially of rapidly-changing urban environments.