Several multi-model ensemble methods are investigated for predicting wake vortex transport and decay. This study is a joint effort between National Aeronautics and Space Administration and Deutsches Zentrum fuer Luft- und Raumfahrt to develop a multi-model ensemble capability using their wake models. An overview of different multi-model ensemble methods and their feasibility for wake applications is presented. The methods include Reliability Ensemble Averaging, Bayesian Model Averaging, and Monte Carlo Simulations. The methodologies are evaluated using data from wake vortex field experiments.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Multi-Model Ensemble Wake Vortex Prediction



    Conference:

    AIAA Aviation Technology, Integration, and Operations Conference ; 2015 ; Dallas, TX, United States


    Publication date :

    2015-06-22


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English


    Keywords :


    Multi-Model Ensemble Wake Vortex Prediction

    Körner, Stephan | German Aerospace Center (DLR) | 2017

    Free access

    Multi-model ensemble wake vortex prediction

    Körner, Stephan / Rheinisch-Westfälische Technische Hochschule Aachen | TIBKAT | 2017


    Multi-model ensemble wake vortex prediction

    Körner, Stephan / Holzäpfel, Frank | Emerald Group Publishing | 2016


    Multi-model ensemble wake vortex prediction : = Multi-model ensemble Wirbelschleppenvorhersagen

    Körner, Stephan / Rheinisch-Westfälische Technische Hochschule Aachen | SLUB | 2017


    Multi-Model Ensemble Wake Vortex Prediction (Invited)

    Koerner, Stephan / Ahmad, Nashat N. / Holzäpfel, Frank N. et al. | AIAA | 2015