Vortex model to define safe aircraft separation distances

Corjon, Alexandre; Poinsot, Thiérry

doi:10.2514/3.46979

Cited by 31 publications

(12 citation statements)

References 15 publications

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“…In general, the fast-time wake-vortex models are empirical algorithms used for fast predictions of wake transport and decay, based on aircraft parameters and ambient weather conditions. The models used in this study include the Aircraft Vortex Spacing System (AVOSS) Prediction Algorithm (APA) [32][33][34][35][36], Terminal Area Simulation System (TASS) Derived Algorithms for Wake Prediction (TDP) [14,37], and the deterministic two-phase wake-vortex decay and transport model (D2P) [12,13]. The APA and TDP models have been developed by NASA, whereas D2P has been developed by DLR.…”

Section: Fast-time Wake Transport and Decay Modelsmentioning

confidence: 99%

Multimodel Ensemble Methods for Prediction of Wake-Vortex Transport and Decay

Körner

Ahmad

Holzäpfel

et al. 2017

Journal of Aircraft

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Several multimodel ensemble methods are selected and further developed to improve the deterministic and probabilistic prediction skills of individual wake-vortex transport and decay models. The different multimodel ensemble methods are introduced, and their suitability for wake applications is demonstrated. The selected methods include direct ensemble averaging, Bayesian model averaging, and Monte Carlo simulation. The different methodologies are evaluated employing data from wake-vortex field measurement campaigns conducted in the United States and Germany.= forecast of ith model g i yjf i = probability density function of forecast L = likelihood PB = probability that B occurs PBjA = probability that B occurs, given that A occurs py = probability density function of the y forecast

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Section: Fast-time Wake Transport and Decay Modelsmentioning

confidence: 99%

Multimodel Ensemble Methods for Prediction of Wake-Vortex Transport and Decay

Körner

Ahmad

Holzäpfel

et al. 2017

Journal of Aircraft

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“…From a single equation, circulation, velocity, and vertical position of the wake can be determined. Greene's model was extended by Corjon and Poinsot 10 by adding ground and crosswind effects 10 years later. Sarpkaya 11 eliminated the viscous drag in Greene's 9 model and proposed an empirical model for turbulent decay that relies on the eddy dissipation rate instead of turbulent kinetic energy.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Two-Phase Wake Vortex Decay and Transport Model

Holzäpfel

2003

Journal of Aircraft

188

104

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A new parametric wake vortex transport and decay model is proposed that predicts probabilistic wake vortex behavior as a function of aircraft and environmental parameters in real time. The probabilistic two-phase wake vortex decay model (P2P) accounts for the effects of wind, turbulence, stable strati cation, and ground proximity. The model equations are derived from the analytical solution of the spatiotemporal circulation evolution of the decaying potential vortex and are adapted to wake vortex behavior as observed in large-eddy simulations. Vortex decay progresses in two phases, a diffusion phase followed by rapid decay. Vortex descent is a nonlinear function of vortex strength. Probabilistic components account for deviations from deterministic vortex behavior inherently caused by the stochastic nature of turbulence, vortex instabilities, and deformations, as well as uncertainties and uctuations that arise from environmental and aircraft parameters. The output of P2P consists of con dence intervals for vortex position and strength. To assign a de ned degree of probability to the predictions reliably, the model design allows for the continuous adjustment of decay parameters and uncertainty allowances, based on a growing amount of data. The application of a deterministic version of P2P to the Memphis wake vortex database yields favorable agreement with measurements. Nomenclature

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“…The French wake warning system SYAGE (Système Anticipatif de Gestion des Espacements) uses wind measurements and a wake vortex model to predict reduced separations for departing aircraft (Corjon & Poinsot, 1996;LeRoux & Corjon, 1997). NASA Langely develops the Aircraft Vortex Spacing System (AVOSS) which predicts the wake vortex residence time in a control corridor along the glide path.…”

Section: Introductionmentioning

confidence: 99%

Short‐term prediction of the horizontal wind vector within a wake vortex warning system

Frech¹,

Holzäpfel²,

Gerz³

et al. 2002

Meteorological Applications

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A wake vortex warning system (WVWS) has been developed for Frankfurt Airport. This airport has two parallel runways which are separated by 518 m, a distance too short to operate them independently because wake vortices may be advected to the adjacent runway. The objective of the WVWS is to enable operation with reduced separation between two aircraft approaching the parallel runways during appropriate wind conditions. The WVWS applies a statistical persistence model to predict the crosswind within a 20‐minute period. One of the main problems identified in the old WVWS is discontinuity between successive forecasts. These forecast breakdowns were not acceptable to air traffic controllers. At least part of the problem was related to the fact that the forecast was solely based on the prediction of crosswind. A new method is developed on the basis of 523 days of sonic anemometer measurements at Frankfurt Airport. It is demonstrated that the prediction of the horizontal wind vector avoids these difficulties and significantly improves the system's performance. Copyright © 2002 Royal Meteorological Society.

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Vortex model to define safe aircraft separation distances

Cited by 31 publications

References 15 publications

Multimodel Ensemble Methods for Prediction of Wake-Vortex Transport and Decay

Multimodel Ensemble Methods for Prediction of Wake-Vortex Transport and Decay

Probabilistic Two-Phase Wake Vortex Decay and Transport Model

Short‐term prediction of the horizontal wind vector within a wake vortex warning system

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