Soil temperature is an important indicator for monitoring the root’s environment of natural vegetation or crops. Regional Climate Models (RCMs) are valuable tools for simulating the soil temperature profile on a hierarchy of time scales ranging from daily to annual. Focusing on the daily scale, two eight-year simulations (2011-2018) were conducted to examine the influence of different initial conditions on the simulated soil temperature profile to using a regional climate model (RegCM4). The two simulations were driven by ERA-Interim reanalysis and the output was compared with respect to in-situ observation. The first simulation was initialized with an arbitrary initial condition (i.e., from bare soil) and it was referred to as RegCM4-S1; the second one was initialized with a long-term spin-up file and it was designated as RegCM4-S2. The results showed that the RegCM4-S2 performs better than RegCM4-S1 in simulating the shallow soil temperature profile. Moreover, the RegCM4-S2 shows a poor performance in simulating the soil temperature of deep depths but still outperforms the RegCM4-S1 with respect to the in-situ observation. With a particular focus on the deep depths, the soil temperature parameterization needs to be revised and it is necessary to implement a numerical scheme to reduce the spin-up time.