The planetary boundary layer (PBL), the lowest part of the earth’s atmosphere, is well-mixed, and directly influenced by the earth's surface. The PBL height (PBLH) signifies the vertical extent of turbulent mixing, which is critical to many environmental and climate topics such as air pollution, fog, and clouds. The PBLH is determined by a complex interaction of lower atmosphere and surface processes, and can therefore be used a good proxy for evaluating Numerical Weather Prediction (NWP) models. However, the PBLH is difficult to directly measure: data sources such as satellite and radiosondes tend to have limited temporal resolution (most operational radiosondes are launched just twice a day), preventing a robust understanding of the temporal evolution of the PBL. The Aircraft Meteorological Data Reports (AMDAR) provides routine observations of temperature, humidity, and winds both in and above the PBL, with superior temporal and spatial resolution, particularly near major airports. We developed a tool to utilize AMDAR data to estimate PBLH and save in a convenient netcdf dataset. We present plots of PBLH using this dataset, and compare to the operational High Resolution Rapid Refresh (HRRR) model, which is a high-resolution (3-km grid spacing) numerical weather prediction model used extensively within the contiguous United States. We also implement the PBLH algorithm in community verification tools such as METplus and METexpress.