Using numerical models for the prediction of air temperature on a local scale represents progress in urban climatology. Although the MUKLIMO_3 simulations showed a number of uncertainties and customisation which must be improved (e.g. the classification of local climate zones seems to be too general as input for the Land Use Table), the model showed good performance in its approximation of the daily courses of air temperature in different urban environments. The degree of imprecision is highly dependent on the quality (e.g. representatives of meteorological measurement) and degree of generalisation (e.g. spatial resolution) of the input data. The model outputs may be used to study the development of the air temperature field in high temporal resolution (e.g. 60 minutes) but also for quantification of the effect of relief, land cover/use and weather conditions on local (urban) climate. The model is also useful for analysing UHIs. To reach a better performance the model must be validated in various cities with diff erent landscape structures throughout the moderate climate zone. Therefore, it is necessary to continue to study the model settings and try to prepare optimal inputs for better results.