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.


    Access

    Download


    Export, share and cite



    Title :

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



    Published in:

    Journal of Aircraft ; 54 , 5 ; 1849-1859


    Publication date :

    2017-09-01




    Type of media :

    Conference paper , Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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

    Korner, Stephan / Ahmad, Nashat N. / Holzapfel, Frank et al. | NTRS | 2017


    Probabilistic Multimodel Ensemble Wake-Vortex Prediction Employing Bayesian Model Averaging

    Körner, Stephan / Holzäpfel, Frank / Sölch, Ingo | AIAA | 2019


    Probabilistic Multimodel Ensemble Wake-Vortex Prediction employing Bayesian Model Averaging

    Körner, Stephan / Holzäpfel, Frank / Sölch, Ingo | German Aerospace Center (DLR) | 2019

    Free access

    Multi-Model Ensemble Wake Vortex Prediction

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

    Free access