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Article

Climate-Optimized Trajectories and Robust Mitigation Potential: Flying ATM4E

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Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Erdsystem-Modellierung, Oberpfaffenhofen, 82334 Wessling, Germany
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Air Traffic Management, Hamburg University of Technology, 21079 Hamburg, Germany
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Faculty of Aerospace Engineering, Delft University of Technology, Section Aircraft Noise and Climate Effects, 2628 HS Delft, The Netherlands
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Deutsches Zentrum für Luft- und Raumfahrt, Lufttransportsysteme, 21079 Hamburg, Germany
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Department of Meteorology, University of Reading, Reading RG6 6BB, UK
*
Author to whom correspondence should be addressed.
Aerospace 2020, 7(11), 156; https://doi.org/10.3390/aerospace7110156
Received: 3 August 2020 / Revised: 23 October 2020 / Accepted: 27 October 2020 / Published: 30 October 2020
Aviation can reduce its climate impact by controlling its CO2-emission and non-CO2 effects, e.g., aviation-induced contrail-cirrus and ozone caused by nitrogen oxide emissions. One option is the implementation of operational measures that aim to avoid those atmospheric regions that are in particular sensitive to non-CO2 aviation effects, e.g., where persistent contrails form. The quantitative estimates of mitigation potentials of such climate-optimized aircraft trajectories are required, when working towards sustainable aviation. The results are presented from a comprehensive modelling approach when aiming to identify such climate-optimized aircraft trajectories. The overall concept relies on a multi-dimensional environmental change function concept, which is capable of providing climate impact information to air traffic management (ATM). Estimates on overall climate impact reduction from a one-day case study are presented that rely on the best estimate for climate impact information. Specific weather situation that day, containing regions with high contrail impact, results in a potential reduction of total climate impact, by more than 40%, when considering CO2 and non-CO2 effects, associated with an increase of fuel by about 0.5%. The climate impact reduction per individual alternative trajectory shows a strong variation and, hence, also the mitigation potential for an analyzed city pair, depending on atmospheric characteristics along the flight corridor as well as flight altitude. The robustness of proposed climate-optimized trajectories is assessed by using a range of different climate metrics. A more sustainable ATM needs to integrate comprehensive environmental impacts and associated forecast uncertainties into route optimization in order to identify robust eco-efficient trajectories. View Full-Text
Keywords: climate impact; climate optimization; air traffic management; eco-efficient trajectories climate impact; climate optimization; air traffic management; eco-efficient trajectories
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MDPI and ACS Style

Matthes, S.; Lührs, B.; Dahlmann, K.; Grewe, V.; Linke, F.; Yin, F.; Klingaman, E.; Shine, K.P. Climate-Optimized Trajectories and Robust Mitigation Potential: Flying ATM4E. Aerospace 2020, 7, 156. https://doi.org/10.3390/aerospace7110156

AMA Style

Matthes S, Lührs B, Dahlmann K, Grewe V, Linke F, Yin F, Klingaman E, Shine KP. Climate-Optimized Trajectories and Robust Mitigation Potential: Flying ATM4E. Aerospace. 2020; 7(11):156. https://doi.org/10.3390/aerospace7110156

Chicago/Turabian Style

Matthes, Sigrun, Benjamin Lührs, Katrin Dahlmann, Volker Grewe, Florian Linke, Feijia Yin, Emma Klingaman, and Keith P. Shine. 2020. "Climate-Optimized Trajectories and Robust Mitigation Potential: Flying ATM4E" Aerospace 7, no. 11: 156. https://doi.org/10.3390/aerospace7110156

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