Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4869-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-4869-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
12 Oct 2020
Model description paper |
| 12 Oct 2020
| 12 Oct 2020
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0
Hiroshi Yamashita
CORRESPONDING AUTHOR
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Feijia Yin
Delft University of Technology, Aerospace Engineering, Section Aircraft Noise and Climate Effects,
Delft, the Netherlands
Volker Grewe
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Delft University of Technology, Aerospace Engineering, Section Aircraft Noise and Climate Effects,
Delft, the Netherlands
Patrick Jöckel
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sigrun Matthes
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Bastian Kern
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Katrin Dahlmann
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Christine Frömming
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
18 citations as recorded by crossref.
- Case Study for Testing the Validity of NOx-Ozone Algorithmic Climate Change Functions for Optimising Flight Trajectories P. Rao et al. 10.3390/aerospace9050231
- A Comprehensive Survey on Climate Optimal Aircraft Trajectory Planning A. Simorgh et al. 10.3390/aerospace9030146
- Advanced Flight Planning and the Benefit of In-Flight Aircraft Trajectory Optimization J. Rosenow et al. 10.3390/su13031383
- Comparison of Actual and Time-Optimized Flight Trajectories in the Context of the In-Service Aircraft for a Global Observing System (IAGOS) Programme O. Boucher et al. 10.3390/aerospace10090744
- Influence of weather situation on non-CO<sub>2</sub> aviation climate effects: the REACT4C climate change functions C. Frömming et al. 10.5194/acp-21-9151-2021
- Conflict assessment and resolution of climate-optimal aircraft trajectories at network scale F. Baneshi et al. 10.1016/j.trd.2022.103592
- Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0 H. Yamashita et al. 10.3390/aerospace8020033
- Minimising emissions from flights through realistic wind fields with varying aircraft weights C. Wells et al. 10.1016/j.trd.2023.103660
- Climate Impact Mitigation Potential of European Air Traffic in a Weather Situation with Strong Contrail Formation B. Lührs et al. 10.3390/aerospace8020050
- Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0 A. Simorgh et al. 10.5194/gmd-16-3723-2023
- The role of airspeed variability in fixed-time, fuel-optimal aircraft trajectory planning C. Wells et al. 10.1007/s11081-022-09720-9
- OpenAP.top: Open Flight Trajectory Optimization for Air Transport and Sustainability Research J. Sun 10.3390/aerospace9070383
- Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53 F. Yin et al. 10.5194/gmd-16-3313-2023
- Free Routing in High-Complexity Airspace: Impact Assessment for Environment and Aviation Stakeholders Y. Gencoglu & B. Baspinar 10.2514/1.I011203
- Note on the Non-CO2 Mitigation Potential of Hybrid-Electric Aircraft Using “Eco-Switch” M. Niklaß et al. 10.2514/1.C036826
- Feasibility of contrail avoidance in a commercial flight planning system: an operational analysis A. Martin Frias et al. 10.1088/2634-4505/ad310c
- A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0 S. Dietmüller et al. 10.5194/gmd-16-4405-2023
- Climate-Optimized Trajectories and Robust Mitigation Potential: Flying ATM4E S. Matthes et al. 10.3390/aerospace7110156
17 citations as recorded by crossref.
- Case Study for Testing the Validity of NOx-Ozone Algorithmic Climate Change Functions for Optimising Flight Trajectories P. Rao et al. 10.3390/aerospace9050231
- A Comprehensive Survey on Climate Optimal Aircraft Trajectory Planning A. Simorgh et al. 10.3390/aerospace9030146
- Advanced Flight Planning and the Benefit of In-Flight Aircraft Trajectory Optimization J. Rosenow et al. 10.3390/su13031383
- Comparison of Actual and Time-Optimized Flight Trajectories in the Context of the In-Service Aircraft for a Global Observing System (IAGOS) Programme O. Boucher et al. 10.3390/aerospace10090744
- Influence of weather situation on non-CO<sub>2</sub> aviation climate effects: the REACT4C climate change functions C. Frömming et al. 10.5194/acp-21-9151-2021
- Conflict assessment and resolution of climate-optimal aircraft trajectories at network scale F. Baneshi et al. 10.1016/j.trd.2022.103592
- Analysis of Aircraft Routing Strategies for North Atlantic Flights by Using AirTraf 2.0 H. Yamashita et al. 10.3390/aerospace8020033
- Minimising emissions from flights through realistic wind fields with varying aircraft weights C. Wells et al. 10.1016/j.trd.2023.103660
- Climate Impact Mitigation Potential of European Air Traffic in a Weather Situation with Strong Contrail Formation B. Lührs et al. 10.3390/aerospace8020050
- Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0 A. Simorgh et al. 10.5194/gmd-16-3723-2023
- The role of airspeed variability in fixed-time, fuel-optimal aircraft trajectory planning C. Wells et al. 10.1007/s11081-022-09720-9
- OpenAP.top: Open Flight Trajectory Optimization for Air Transport and Sustainability Research J. Sun 10.3390/aerospace9070383
- Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53 F. Yin et al. 10.5194/gmd-16-3313-2023
- Free Routing in High-Complexity Airspace: Impact Assessment for Environment and Aviation Stakeholders Y. Gencoglu & B. Baspinar 10.2514/1.I011203
- Note on the Non-CO2 Mitigation Potential of Hybrid-Electric Aircraft Using “Eco-Switch” M. Niklaß et al. 10.2514/1.C036826
- Feasibility of contrail avoidance in a commercial flight planning system: an operational analysis A. Martin Frias et al. 10.1088/2634-4505/ad310c
- A Python library for computing individual and merged non-CO2 algorithmic climate change functions: CLIMaCCF V1.0 S. Dietmüller et al. 10.5194/gmd-16-4405-2023
1 citations as recorded by crossref.
Latest update: 18 Apr 2024
Short summary
This paper describes the updated submodel AirTraf 2.0 which simulates global air traffic in the ECHAM/MESSy Atmospheric Chemistry (EMAC) model. Nine aircraft routing options have been integrated, including contrail avoidance, minimum economic costs, and minimum climate impact. Example simulations reveal characteristics of different routing options on air traffic performances. The consistency of the AirTraf simulations is verified with literature data.
This paper describes the updated submodel AirTraf 2.0 which simulates global air traffic in the...
