Probabilistic Multimodel Ensemble Wake-Vortex Prediction employing Bayesian Model Averaging
Probabilistic Multimodel Ensemble Wake-Vortex Prediction employing Bayesian Model Averaging
- New search for: Körner, Stephan
- New search for: Holzäpfel, Frank
- Further information on Holzäpfel, Frank:
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https://orcid.org/0000-0003-3182-1832
- New search for: Sölch, Ingo
- New search for: Körner, Stephan
- New search for: Holzäpfel, Frank
- Further information on Holzäpfel, Frank:
-
https://orcid.org/0000-0003-3182-1832
- New search for: Sölch, Ingo
This paper investigates the capability of the multimodel ensemble approach to improve the deterministic forecast of wake-vortex behavior and to produce reliable probabilistic vortex habitation areas. Therefore, the deterministic two- phase wake vortex model D2P, the aircraft vortex spacing system prediction algorithm (APA) 3.2, APA 3.4, APA 3.8, and terminal area simulation system driven algorithms for wake prediction (TDP 2.1) wake-vortex models are exchanged within the framework of a NASA/DLR cooperation.
Document information
Probabilistic Multimodel Ensemble Wake-Vortex Prediction employing Bayesian Model Averaging
Journal of Aircraft ; 695-706
2019
Article (Journal)
Electronic Resource
German
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