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Flying low and slow: Application of algorithmic climate change functions to assess the climate mitigation potential of reduced cruise altitudes and speeds on different days

Zengerling, Zarah Lea und Linke, Florian und Weder, Christian Martin und Dietmüller, Simone und Matthes, Sigrun und Peter, Patrick (2023) Flying low and slow: Application of algorithmic climate change functions to assess the climate mitigation potential of reduced cruise altitudes and speeds on different days. Meteorologische Zeitschrift, Seiten 1-15. Borntraeger Science Publishers. doi: 10.1127/metz/2023/1194. ISSN 0941-2948.

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Offizielle URL: https://www.schweizerbart.de/papers/metz/detail/prepub/103143/Flying_low_and_slow_Application_of_algorithmic_climate_change_functions_to_assess_the_climate_mitigation_potential_of_reduced_cruise_altitudes_and_speeds_on_different_days

Kurzfassung

The climate effect from aviation’s non-CO2 emissions such as contrail cirrus, water vapor and nitrogen oxide induced ozone and methane changes depend on emission location and time. Among other approaches, the resulting climate effect can be reduced by lowering cruise flight levels. However, aircraft typically aim to fly at optimum altitudes and perform step climbs with increasing flight length to enhance fuel efficiency and reduce operating cost, what also limits climate effects from CO2 emissions. To account for this and to reduce the overall climate effect of flights, the higher fuel consumption at lower flight altitudes can be compensated by also reducing flight speeds. Therefore, this study analyzes the mitigation potential of flying lower and slower with regard to the overall climate effect along flight trajectories. Specifically, actually flown point profiles are combined with related meteorological parameters to evaluate the effect from reduced cruise altitudes and speeds with an updated set of prototype algorithmic climate change functions. Different case studies show varying effects for individual days during different seasons, and significant mitigation potentials due to flying lower and slower can be observed (up to 9 % on a summer day and 16 % on a winter day). A sensitivity study to explore uncertainties with regard to the quantification of contrail effects is performed as well as an investigation on possible economic consequences in terms of changes in direct operating cost and eco-efficient solutions.

elib-URL des Eintrags:https://elib.dlr.de/198657/
Dokumentart:Zeitschriftenbeitrag
Titel:Flying low and slow: Application of algorithmic climate change functions to assess the climate mitigation potential of reduced cruise altitudes and speeds on different days
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Zengerling, Zarah Leazarah.zengerling (at) dlr.dehttps://orcid.org/0000-0001-7424-3687146015627
Linke, FlorianFlorian.Linke (at) dlr.dehttps://orcid.org/0000-0003-1403-3471NICHT SPEZIFIZIERT
Weder, Christian Martinchristian.weder (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Dietmüller, SimoneDLR, IPAhttps://orcid.org/0000-0001-9702-871XNICHT SPEZIFIZIERT
Matthes, SigrunDLR, IPAhttps://orcid.org/0000-0002-5114-2418NICHT SPEZIFIZIERT
Peter, PatrickDLR, IPAhttps://orcid.org/0000-0002-2713-0230NICHT SPEZIFIZIERT
Datum:15 September 2023
Erschienen in:Meteorologische Zeitschrift
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
DOI:10.1127/metz/2023/1194
Seitenbereich:Seiten 1-15
Verlag:Borntraeger Science Publishers
ISSN:0941-2948
Status:veröffentlicht
Stichwörter:aviation climate impact, operational improvements, trajectory modelling, non-CO2 effects, contrail effects
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Luftverkehr und Auswirkungen
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AI - Luftverkehr und Auswirkungen
DLR - Teilgebiet (Projekt, Vorhaben):L - Lufttransportbetrieb und Folgenabschätzung
Standort: Hamburg , Oberpfaffenhofen
Institute & Einrichtungen:Institut für Luftverkehr
Institut für Physik der Atmosphäre > Erdsystem-Modellierung
Hinterlegt von: Zengerling, Zarah Lea
Hinterlegt am:06 Nov 2023 07:51
Letzte Änderung:06 Nov 2023 07:51

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