  Tropical cyclone reconnaissance data, such as that of Hurricane Lane, often
exhibits discrepancies between flight-level wind measurements and SFMR data,
leading to uncertainty in determining peak intensity. In this study, I analyze
Hurricane Lane's recon data alongside similar cases like Hurricane Dorian
(2019), Hurricane Felix (2007), and Hurricane Matthew (2016). By integrating
flight-level wind data, SFMR observations, dropsonde data, microwave and
satellite imagery, I propose a refined flight-level to surface wind conversion
factor of 0.97, contrasting with the commonly used value of 0.9. My analysis
suggests a peak intensity of 145 knots maximum sustained wind (MSW) and a
minimum sea level pressure (MSLP) of 926 hPa for Hurricane Lane. I also examine
how certain features of tropical cyclones can influence reconnaissance data
output and infer potential weaknesses in the storm structure. My findings
underscore the importance of comprehensive analysis in improving the
reliability of reconnaissance instruments and understanding tropical cyclone
behavior.
