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Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0

Yamashita, Hiroshi and Yin, Feijia and Grewe, Volker and Jöckel, Patrick and Matthes, Sigrun and Kern, Bastian and Dahlmann, Katrin and Frömming, Christine (2021) Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0. Aerospace, 8 (2), pp. 1-19. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/aerospace8020033. ISBN 2226-4310. ISSN 2226-4310.

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Official URL: https://doi.org/10.3390/aerospace8020033

Abstract

Climate-optimized routing is an operational measure to effectively reduce the climate impact of aviation with a slight increase in aircraft operating costs. This study examined variations in the flight characteristics among five aircraft routing strategies and discusses several characteristics of those routing strategies concerning typical weather conditions over the North Atlantic. The daily variability in the North Atlantic weather patterns was analyzed by using the European Center Hamburg general circulation model (ECHAM) and the Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model in the specified dynamics mode from December 2008 to August 2018. All days of the ten complete winters and summers in the simulations were classified into five weather types for winter and into three types for summer. The obtained frequency for each of the weather types was in good agreement with the literature data; and then representative days for each weather type were selected. Moreover, a total of 103 North Atlantic flights of an Airbus A330 aircraft were simulated with five aircraft routing strategies for each representative day by using the EMAC model with the air traffic simulation submodel AirTraf. For every weather type, climate-optimized routing shows the lowest climate impact, at which a trade-off exists between the operating costs and the climate impact. Cost-optimized routing lies between the time- and fuel-optimized routings and achieves the lowest operating costs by taking the best compromise between flight time and fuel use. The aircraft routing for contrail avoidance shows the second lowest climate impact; however, this routing causes extra operating costs. Our methodology could be extended to statistical analysis based on long-term simulations to clarify the relationship between the aircraft routing characteristics and weather conditions.

Item URL in elib:https://elib.dlr.de/140728/
Document Type:Article
Additional Information:This study was supported by the DLR project Eco2Fly (2018–2022).
Title:Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Yamashita, HiroshiDLR, IPAhttps://orcid.org/0000-0003-2458-1826
Yin, FeijiaTU Delfthttps://orcid.org/0000-0002-6081-9136
Grewe, VolkerDLR, IPAhttps://orcid.org/0000-0002-8012-6783
Jöckel, PatrickDLR, IPAhttps://orcid.org/0000-0002-8964-1394
Matthes, SigrunDLR, IPAhttps://orcid.org/0000-0002-5114-2418
Kern, BastianDLR, IPAhttps://orcid.org/0000-0002-7646-9273
Dahlmann, KatrinDLR, IPAhttps://orcid.org/0000-0003-3198-1713
Frömming, ChristineDLR, IPAhttps://orcid.org/0000-0001-5516-7180
Date:28 January 2021
Journal or Publication Title:Aerospace
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
DOI :10.3390/aerospace8020033
Page Range:pp. 1-19
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2226-4310
ISBN:2226-4310
Status:Published
Keywords:climate impact mitigation; air traffic management; flight trajectory optimization; climate-optimized routing; contrail avoidance; North Atlantic weather patterns
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 (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Modelling
Deposited By: Yamashita, Hiroshi
Deposited On:01 Feb 2021 14:29
Last Modified:01 Feb 2021 14:29

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