Prior studies applied wind-profiling lidars to study wind turbine wakes in different stability regimes or have analyzed surface flux station data in and out of waked conditions. We use both the lidar and surface flux data from the 2011 Crop Wind Energy Experiment (CWEX-11) to provide new insights into the vertical extent of the wake impacts. We first quantify the significance of turbine wake signatures in lidar data in different atmospheric stability conditions. Next, we apply spectral analysis to the surface flux data for these case studies in a range of stability conditions. By combining surface flux and lidar data, we can understand the net effect of turbine wakes and their propagation. Further, this method helps link surface fluxes to wake structures that occur in a range of conditions defined by atmospheric stability, wind speed, and wind direction.
Our results show that wakes are most clearly defined in stable conditions, that a distinct wake signature occurs in power spectra, and that wake signatures propagate vertically outside of the elevations of the turbine rotor disk.