Visualization model for low-level turbulence using temporal rate of change of headwind of an aircraft
Koji Ito,
Haruka Ohba,
Shinya Mizuno
Abstract:In this study, we focused on the temporal rate of change of headwind, which is one of the recorded parameters in the aircraft’s in-flight quick access recorder data. We selected the Laplace distribution and utilized the scaling parameter to construct a low-level turbulence visualization model. Using this model, we calculated the risk of low-level turbulence occurrence at five airports in Japan based on the month, time of day, and wind speed. We visualized how the geographical conditions at each airport influen… Show more
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