In this current JHT work, we make use of a high-resolution hurricane nature run (HNR1) in the place of the Isabel simulation in order to assess the underestimation of the maximum wind throughout the TC lifecycle. Additional simulations of Hurricane Bill (2009), a second hurricane nature run (HNR2), and two idealized hurricanes, which all conform to same model specifics as HNR1, are used to help understand the underestimate at various TC stages. In particular, this study examines the effect of altering the flight pattern to improve the in-storm coverage by aircraft. Underestimates are also compared to the structure of the TC, such as its size, radius of maximum wind speed, or amount of wind speed asymmetry. These factors have implications for the amount of expected underestimation, where large, asymmetric tropical storms have a much larger mean underestimate (~20%) than small, intense, and very symmetric hurricanes (~1-2%). Additionally, simulated scatterometer (ASCAT and QuikSCAT) swaths are produced to assess the underestimate by scatterometers in tropical storms and non-major hurricanes. Instrument limitations in reality prevent obtaining reliable wind speeds greater than ~40 m s-1. Some of the impact here is due to horizontal resolution of the swath, but generally, scatterometers underestimate the peak wind speed by ~15-20%. Applying the standard rain flagging metrics also increases the underestimate. For forecast periods that include SFMR and/or scatterometer data during the 2017 Atlantic hurricane season, we apply the associated underestimate correction and compare the results to the official best track intensity.