Prediction of spatial and temporal variability of air temperature in areas with complex topography is still a challenge for numerical weather prediction models. Simulation of atmosphere over complex terrain requires dense and accurate horizontal and vertical grids. In this study, verification results of three configurations of the Aire Limitée Adaptation Dynamique Développement International High-Resolution Limited Area Model (ALADIN-HIRLAM) numerical weather prediction (NWP) system, using two different horizontal and vertical resolutions and applied to the Polish Western Carpathian Mountains, are presented. One model of the ALADIN-HIRLAM NWP system is tested in two horizontal and vertical resolutions. Predicted air temperatures are compared with observations from stations located in different orographies. A comparison of model results with observations was conducted for three cold season intervals in 2017 and 2018. Statistical validation of model output demonstrates better model representativeness for stations located on hill and mountain tops compared to locations in valley bottoms. A comparison of results for two topography representations (2 × 2 km and 1 × 1 km) showed no statistically significant differences of root mean square error (RMSE) and bias between model results and observations. developed by the international ALADIN and HIRLAM consortiums for operational weather forecasting and research purposes [2,3]. The ALADIN-HIRLAM NWP system is based on a code that is shared with the Integrated Forecast System (IFS) global model developed by the European Centre for Medium-Range Weather Forecasts (ECMWF) and the Action de Recherche Petite Echelle Grande Echelle (ARPEGE) global numerical weather prediction model used for operational weather forecasting at Météo-France. The system provides a multitude of high-resolution limited-area model (LAM) configurations. Several configurations in the ALADIN consortium are precisely validated and prepared to be used for operational weather forecasting at the 16 partner institutes. These configurations are called the ALADIN canonical model configurations (CMCs). Currently there are three canonical model configurations: the ALADIN baseline CMC, the Application of Research to Operations at Mesoscale (AROME) CMC, and the ALADIN-AROME (ALARO) CMC. The HIRLAM consortium prepared its own model configuration of AROME, named the HIRLAM ALADIN Regional/Mesoscale Operational NWP in Europe AROME (HARMONIE-AROME), which is used for operational short-range weather forecasts in 10 countries in Europe.Reliable weather forecasting for such regions may require models of subkilometer spatial resolution. Meteo France is running the AROME operational model with a resolution of 1.3 km [4]. The first results of the preoperational high-resolution AROME model (named AROME Airport) were presented by Hagelin et al. [5]. A rapidly updated forecast was run with 500 m resolution for nowcasting over Paris Charles de Gaulle Airport (CDG) to increase the safety of airport operations. The results of AROME A...