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Multi-Model Ensemble Wake Vortex Prediction

Körner, Stephan and Holzäpfel, Frank (2016) Multi-Model Ensemble Wake Vortex Prediction. Aircraft Engineering and Aerospace Technology, 88 (2), pp. 331-340. Emerald Group Publishing Ltd.. ISBN 10.1108/AEAT-02-2015-0068 ISSN 1748-8842

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Official URL: http://dx.doi.org/10.1108/AEAT-02-2015-0068

Abstract

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.

Item URL in elib:https://elib.dlr.de/103602/
Document Type:Article
Title:Multi-Model Ensemble Wake Vortex Prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Körner, StephanDLR, IPAUNSPECIFIED
Holzäpfel, FrankDLR, IPAUNSPECIFIED
Date:2016
Journal or Publication Title:Aircraft Engineering and Aerospace Technology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:88
Page Range:pp. 331-340
Publisher:Emerald Group Publishing Ltd.
ISSN:1748-8842
ISBN:10.1108/AEAT-02-2015-0068
Status:Published
Keywords:Initial condition uncertainty, Model uncertainty, Multi-Model Ensemble, Wake vortex prediction
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Deposited By: Ziegele, Brigitte
Deposited On:23 Mar 2016 18:08
Last Modified:06 Sep 2019 15:18

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