Convection permitting climate simulations (CPCSs) are able to omit error prone deep convection parameterizations by resolving deep convection explicitly. Furthermore, they are resolving orography and surface fields more accurately which is an advantage especially in mountainous or coastal regions compared to traditional climate simulation with parameterized deep convection. In this thesis it is investigated if these advantages lead to added value in CPCSs compared to coarser gridded simulations. The main improvements of CPCSs are found in the representation of precipitation. Especially sub-daily scales and spatial patterns smaller than approximately 100km are improved. At large (e.g., meso-alpha; 200km to 2000 km) scales, precipitation patterns of CPCSs tend to converge towards the patterns of coarser gridded simulations. However, two exceptions are found: (1) improved large-scale average heavy precipitation totals in June, July, and August in the Colorado Headwaters, and (2) more accurate spatial patterns of air temperature two meters above surface which is strongly related to the improved orography in mountainous regions. The key added value which can be consistently found in an ensemble of CPCSs are: (1) improved timing of the summer convective precipitation diurnal cycle in mountainous regions, (2) more accurate intensities of most extreme precipitation, (3) more realistic size and shape of precipitation objects, and (4) better spatial distribution of precipitation patterns. These improvements are not caused by the higher resolved orography but by the explicit treatment of deep convection and the more realistic model dynamics. In contrast, improvements in summer temperature fields can be fully attributed to the higher resolved orography. Generally, added value of CPCSs is predominantly found in summer, in complex terrain, on small spatial and temporal scales, and for high precipitation intensities.