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

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

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

Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/125586/
Dokumentart:Zeitschriftenbeitrag
Titel:Algorithmic climate change functions for the use in eco-efficient flight planning
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
van Manen, JesperTU Delft, NiederlandeNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Grewe, VolkerDLR, IPAhttps://orcid.org/0000-0002-8012-6783NICHT SPEZIFIZIERT
Datum:Februar 2019
Erschienen in:Transportation Research Part D: Transport and Environment
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:67
DOI:10.1016/j.trd.2018.12.016
Seitenbereich:Seiten 388-405
Verlag:Elsevier
ISSN:1361-9209
Status:veröffentlicht
Stichwörter:Aviation, Climate impact, Meteorology, Algorithm, Regression analysis
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehrsmanagement und Flugbetrieb
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AO - Air Traffic Management and Operation
DLR - Teilgebiet (Projekt, Vorhaben):L - Klima, Wetter und Umwelt (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Physik der Atmosphäre > Erdsystem-Modellierung
Institut für Physik der Atmosphäre
Hinterlegt von: Grewe, Prof. Dr. Volker
Hinterlegt am:03 Jan 2019 16:09
Letzte Änderung:21 Nov 2023 13:46

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