Case studies demonstrate P2P model's effectiveness for predicting turbulence and temperature in wake vortices during flight.
Trailing vortices from jet transport aircraft in high-altitude cruising flight have been measured in high spatiotemporal detail by a research jet operated by the National Research Council Canada. The vortex locations and circulations; descent rate; and vortex core thermodynamic, dynamic, transport, and spatial scale characteristics were derived. Also, from these measurements, the background atmospheric state properties of pressure, wind structure, temperature, thermal stratification, and turbulence have been established. Selected cases from the measured data have been used to evaluate two versions of the Probabilistic 2-Phase (P2P) wake vortex prediction model. While the default P2P version uses ground-based measurement data to calibrate its probabilistic envelopes, the runtime-optimized airborne version (P2P a ) uses uncertainties of all relevant impact parameters to construct the probabilistic envelopes. Flight and model data have been compared, and the suitability of the P2P model versions for onboard wake vortex prediction and warning during cruise have been discussed.
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Brown et al. (2025) studied this question.
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