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Multi-model ensemble wake vortex prediction

Stephan Körner (Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany)
Frank Holzäpfel (Institut für Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, Oberpfaffenhofen, Germany)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 7 March 2016

188

Abstract

Purpose

Wake vortices that are generated by an aircraft as a consequence of lift constitute a potential danger to the following aircraft. To predict and avoid dangerous situations, wake vortex transport and decay models have been developed. Being based on different model physics, they can complement each other with their individual strengths. This paper investigates the skill of a Multi-Model Ensemble (MME) approach to improve prediction performance. Therefore, this paper aims to use wake vortex models developed by NASA (APA3.2, APA3.4, TDP2.1) and by DLR (P2P). Furthermore, this paper analyzes the possibility to use the ensemble spread to compute uncertainty envelopes.

Design/methodology/approach

An MME approach called Reliability Ensemble Averaging (REA) is adapted and used to the wake vortex predictions. To train the ensemble, a set of wake vortex measurements accomplished at the airports of Frankfurt (WakeFRA), Munich (WakeMUC) and at a special airport Oberpfaffenhofen was applied.

Findings

The REA approach can outperform the best member of the ensemble, on average, regarding the root-mean-square error. Moreover, the ensemble delivers reasonable uncertainty envelopes.

Practical implications

Reliable wake vortex predictions may be applicable for both tactical optimization of aircraft separation at airports and airborne wake vortex prediction and avoidance.

Originality/value

Ensemble approaches are widely used in weather forecasting, but they have never been applied to wake vortex predictions. Until today, the uncertainty envelopes for wake vortex forecasts have been computed among others from perturbed initial conditions or perturbed physics as well as from uncertainties from environmental conditions or from safety margins but not from the spread of structurally independent model forecasts.

Keywords

Acknowledgements

We thank Fred Proctor and Nash’at Ahmad of the NASA Langley Research Center for the provision of the APA and TDP models, for fruitful discussions at the NASA-DLR workshops and their continous support. In future work not only the exchanged models but also measurement data from exchanged wake vortex campaigns shall be included.

Citation

Körner, S. and Holzäpfel, F. (2016), "Multi-model ensemble wake vortex prediction", Aircraft Engineering and Aerospace Technology, Vol. 88 No. 2, pp. 331-340. https://doi.org/10.1108/AEAT-02-2015-0068

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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