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Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0

Simorgh, Abolfazl and Soler, Manuel and González-Arribas, Daniel and Linke, Florian and Lührs, Benjamin and Meuser, Maximilian M. and Dietmüller, Simone and Matthes, Sigrun and Yamashita, Hiroshi and Yin, Feijia and Castino, Federica and Grewe, Volker and Baumann, Sabine (2023) Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0. Geoscientific Model Development Discussions (GMDD), 16 (13), pp. 3723-3748. Copernicus Publications. doi: 10.5194/gmd-16-3723-2023. ISSN 1991-9611.

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Official URL: https://doi.org/10.5194/gmd-16-3723-2023


The climate impact of non-CO2 emissions, which are responsible for two-thirds of aviation radiative forcing, highly depends on the atmospheric chemistry and weather conditions. Hence, by planning aircraft trajectories to reroute areas where the non-CO2 climate impacts are strongly enhanced, called climate-sensitive regions, there is a potential to reduce aviation-induced non-CO2 climate effects. Weather forecast is inevitably uncertain, which can lead to unreliable determination of climate-sensitive regions and aircraft dynamical behavior and, consequently, inefficient trajectories. In this study, we propose robust climate-optimal aircraft trajectory planning within the currently structured airspace considering uncertainties in standard weather forecasts. The ensemble prediction system is employed to characterize uncertainty in the weather forecast, and climate-sensitive regions are quantified using the prototype algorithmic climate change functions.

Item URL in elib:https://elib.dlr.de/195947/
Document Type:Article
Title:Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Simorgh, AbolfazlUniversität Madrid, Spainhttps://orcid.org/0000-0002-8374-4915UNSPECIFIED
Soler, ManuelUniversität Madrid, Spainhttps://orcid.org/0000-0002-4664-1693UNSPECIFIED
González-Arribas, DanielUniversität Madrid, SpainUNSPECIFIEDUNSPECIFIED
Linke, FlorianDLR LufttransportsystemeUNSPECIFIEDUNSPECIFIED
Lührs, BenjaminTUHH, Hamburghttps://orcid.org/0000-0002-4059-6959UNSPECIFIED
Meuser, Maximilian M.DLR, LufttransportsystemeUNSPECIFIEDUNSPECIFIED
Matthes, SigrunDLR, IPAhttps://orcid.org/0000-0002-5114-2418UNSPECIFIED
Yamashita, HiroshiDLR, IPAhttps://orcid.org/0000-0003-2458-1826UNSPECIFIED
Yin, FeijiaTU Delfthttps://orcid.org/0000-0002-6081-9136UNSPECIFIED
Castino, FedericaUniversität Delft, NLhttps://orcid.org/0000-0002-7069-0356UNSPECIFIED
Grewe, VolkerDLR, IPAhttps://orcid.org/0000-0002-8012-6783UNSPECIFIED
Baumann, SabineDLR, IPAhttps://orcid.org/0000-0002-4569-4443UNSPECIFIED
Date:July 2023
Journal or Publication Title:Geoscientific Model Development Discussions (GMDD)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:No
Page Range:pp. 3723-3748
Publisher:Copernicus Publications
Keywords:robust climate optimal trajectory planning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Modelling
Deposited By: Dietmüller, Simone
Deposited On:13 Jul 2023 07:30
Last Modified:14 Jul 2023 11:43

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