New turbulence algorithm developed and deployed
The Navigatus data team have developed a new algorithm to better predict the level of turbulence expected on the challenging 23 approach to Queenstown Airport (NZQN). The prior system calculated and reported the level of turbulence based upon the dynamic energy level detected in the air mass nearby the approach path. However the level of uncertainty sometime resulted in the forces experienced on the aircraft to differ from that predicted. Based upon airframe g-force data supplied by Jetstar, and after considerable analysis to explore alternative mathematical approaches, Navigatus was able to develop a system logic and algorithm that predicts consistently the level of turbulence based instead upon the movement of the overall air mass. This system has been deployed ahead of the winter season and increasing post-pandemic RPT traffic. Navigatus team would like to thank Jetstar for the essential access to aircraft data that enabled this development.
