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. Elsevier. ISSN 1361-9209.
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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/125365/ | ||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||
Titel: | Algorithmic climate change functions for the use in eco-efficient flight planning | ||||||||||||
Autoren: |
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Datum: | 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 | ||||||||||||
Verlag: | Elsevier | ||||||||||||
ISSN: | 1361-9209 | ||||||||||||
Status: | akzeptierter Beitrag | ||||||||||||
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: | 18 Dez 2018 18:42 | ||||||||||||
Letzte Änderung: | 20 Jun 2021 15:52 |
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