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Algorithmic climate change functions for the use in eco-efficient flight planning

van Manen, Jesper and Grewe, Volker (2019) Algorithmic climate change functions for the use in eco-efficient flight planning. Transportation Research Part D: Transport and Environment, 67, pp. 388-405. Elsevier. DOI: 10.1016/j.trd.2018.12.016 ISSN 1361-9209

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Official URL: https://www.sciencedirect.com/science/article/pii/S1361920917309781

Abstract

Aviation contributes significantly to anthropogenic climate change, and one promising possibility for mitigation is eco-efficient flight planning by avoiding climate sensitive regions with only small changes in the aircraft trajectories. Climate sensitive regions result from strong spatial variation of the global climate impact of local non-CO2 emissions, which are expressed by so-called climate change functions. Previous research established high-fidelity climate change functions (CCFs) for aviation water vapour and NOx emissions, and contrail formation with a climate model as inputs for air traffic optimisation. The mitigation potential in this case study is promising but the climate change function simulations are too computationally intensive for real-time calculation and thus cannot be applied operationally. In this study we show for the first time that this problem can be overcome by formulating algorithmic approximations of the global climate impact. Here we approximate water vapour concentration changes from local aviation water vapour emissions, ozone changes from local NOx emissions and methane changes from local NOx emissions (i.e. algorithmic climate change functions; aCCFs) from instantaneous model weather data using regression analysis. Four candidate algorithms are formulated per chemical species and traded off. The final adjusted regression coefficients, indicating howwell the aCCFs represent the CCFs, are 0.59, 0.42, and 0.17 for water vapour, ozone and methane. The results show that the meteorology at the time of emission largely controls the fate of the emitted species, where the quality of the aCCF degrades with increasing lifetime of the respective species.

Item URL in elib:https://elib.dlr.de/125586/
Document Type:Article
Title:Algorithmic climate change functions for the use in eco-efficient flight planning
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
van Manen, JesperTU Delft, NiederlandeUNSPECIFIED
Grewe, VolkerDLR, IPAhttps://orcid.org/0000-0002-8012-6783
Date:February 2019
Journal or Publication Title:Transportation Research Part D: Transport and Environment
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:67
DOI :10.1016/j.trd.2018.12.016
Page Range:pp. 388-405
Publisher:Elsevier
ISSN:1361-9209
Status:Published
Keywords:Aviation, Climate impact, Meteorology, Algorithm, Regression analysis
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 > Earth System Modelling
Institute of Atmospheric Physics
Deposited By: Grewe, Prof. Dr. Volker
Deposited On:03 Jan 2019 16:09
Last Modified:06 Sep 2019 15:30

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