In 2015, the Department of Energy (DOE) and the National Oceanic and Atmospheric Administration (NOAA) initiated a four-year study, the Second Wind Forecast Improvement Project (WFIP2), which aims to improve the accuracy of meteorological models that forecast wind speed in complex terrain for applications in wind energy (Wilczak et al.2019). As a part of WFIP2, a dataset was collected in the Columbian River and Basin regions of Oregon and Washington which led to significant wind forecast model improvements (Kenyon et al.2018). Similar to the observations performed in Oregon and Washington, Light Detection and Ranging (LiDAR) systems were deployed at three observation points at the Lawrence Livermore National Laboratory Site 300 Experimental Test Site as part of WFIP2. Site 300, located in the rolling hills approximately ten kilometers from the Altamont Pass Wind Resource Area, represents a second complex terrain location for validating and evaluating the model improvements made using the original Columbian River dataset. The three LiDARsystems continuously collected wind speed and direction data at heights ranging from 10 meters to 150 meters. The data were used to better understand how wind flow is modified over hills and valleys in the Altamont Pass Wind Resource Area and to determine the optimal hub height for new turbine installations in the region. We observed five popular turbine models that are installed in the Altamont Wind Resource Area Using the collected data and comparisons of existing turbine models in the area, the most efficient turbine model for the Altamont Wind ResourceArea based on power output was determined to be the Mitsubishi 1.0MW. Future work related to this research includes further comparing turbine models based on factors including overall cost and effects on wildlife as well as determining optimal spacing between turbine units.