Two LES models, PALM and UCLA-LES, are used to simulate a period observed during the observational prototype experiment of the project HD(CP)2 (High Definition Clouds and Precipitation for Advancing Climate Prediction) which took place in April and May 2013 in Germany. The simulations are initialized with profiles stemming from simulations with the mesoscale model COSMO (Consortium for Small-scale Modeling). Time-dependent advective tendencies calculated from COSMO output are prescribed and continuous nudging towards the COSMO data is used to incorporate meteorological forcing. A comparison of first and second-order statistics with the multi-sensor data set collected during the prototype experiment is presented to assess whether it is possible to produce a realistic turbulent flow. The effect of nudging is further explored by changing the magnitude and the profile of the relaxation time-scale. The implications of our findings for the generation of realistic geophysical turbulence are discussed.