Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0
Aviation contributes to climate change, and the climate impact of aviation is expected to increase further. Adaptations of aircraft routings in order to reduce the climate impact are an important climate change mitigation measure. The air traffic simulator AirTraf, as a submodel of the European Cent...
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ftdoajarticles:oai:doaj.org/article:5bf25c0e65a04efcaa14c4e76bc0bc0c 2023-05-15T17:35:54+02:00 Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 H. Yamashita F. Yin V. Grewe P. Jöckel S. Matthes B. Kern K. Dahlmann C. Frömming 2020-10-01T00:00:00Z https://doi.org/10.5194/gmd-13-4869-2020 https://doaj.org/article/5bf25c0e65a04efcaa14c4e76bc0bc0c EN eng Copernicus Publications https://gmd.copernicus.org/articles/13/4869/2020/gmd-13-4869-2020.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-13-4869-2020 1991-959X 1991-9603 https://doaj.org/article/5bf25c0e65a04efcaa14c4e76bc0bc0c Geoscientific Model Development, Vol 13, Pp 4869-4890 (2020) Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.5194/gmd-13-4869-2020 2022-12-31T02:52:04Z Aviation contributes to climate change, and the climate impact of aviation is expected to increase further. Adaptations of aircraft routings in order to reduce the climate impact are an important climate change mitigation measure. The air traffic simulator AirTraf, as a submodel of the European Center HAMburg general circulation model (ECHAM) and Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model, enables the evaluation of such measures. For the first version of the submodel AirTraf, we concentrated on the general setup of the model, including departure and arrival, performance and emissions, and technical aspects such as the parallelization of the aircraft trajectory calculation with only a limited set of optimization possibilities (time and distance). Here, in the second version of AirTraf, we focus on enlarging the objective functions by seven new options to enable assessing operational improvements in many more aspects including economic costs, contrail occurrence, and climate impact. We verify that the AirTraf setup, e.g., in terms of number and choice of design variables for the genetic algorithm, allows us to find solutions even with highly structured fields such as contrail occurrence. This is shown by example simulations of the new routing options, including around 100 North Atlantic flights of an Airbus A330 aircraft for a typical winter day. The results clearly show that AirTraf 2.0 can find the different families of optimum flight trajectories (three-dimensional) for specific routing options; those trajectories minimize the corresponding objective functions successfully. The minimum cost option lies between the minimum time and the minimum fuel options. Thus, aircraft operating costs are minimized by taking the best compromise between flight time and fuel use. The aircraft routings for contrail avoidance and minimum climate impact reduce the potential climate impact which is estimated by using algorithmic climate change functions, whereas these two routings increase the aircraft ... Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 13 10 4869 4890 |
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Directory of Open Access Journals: DOAJ Articles |
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topic |
Geology QE1-996.5 |
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Geology QE1-996.5 H. Yamashita F. Yin V. Grewe P. Jöckel S. Matthes B. Kern K. Dahlmann C. Frömming Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
topic_facet |
Geology QE1-996.5 |
description |
Aviation contributes to climate change, and the climate impact of aviation is expected to increase further. Adaptations of aircraft routings in order to reduce the climate impact are an important climate change mitigation measure. The air traffic simulator AirTraf, as a submodel of the European Center HAMburg general circulation model (ECHAM) and Modular Earth Submodel System (MESSy) Atmospheric Chemistry (EMAC) model, enables the evaluation of such measures. For the first version of the submodel AirTraf, we concentrated on the general setup of the model, including departure and arrival, performance and emissions, and technical aspects such as the parallelization of the aircraft trajectory calculation with only a limited set of optimization possibilities (time and distance). Here, in the second version of AirTraf, we focus on enlarging the objective functions by seven new options to enable assessing operational improvements in many more aspects including economic costs, contrail occurrence, and climate impact. We verify that the AirTraf setup, e.g., in terms of number and choice of design variables for the genetic algorithm, allows us to find solutions even with highly structured fields such as contrail occurrence. This is shown by example simulations of the new routing options, including around 100 North Atlantic flights of an Airbus A330 aircraft for a typical winter day. The results clearly show that AirTraf 2.0 can find the different families of optimum flight trajectories (three-dimensional) for specific routing options; those trajectories minimize the corresponding objective functions successfully. The minimum cost option lies between the minimum time and the minimum fuel options. Thus, aircraft operating costs are minimized by taking the best compromise between flight time and fuel use. The aircraft routings for contrail avoidance and minimum climate impact reduce the potential climate impact which is estimated by using algorithmic climate change functions, whereas these two routings increase the aircraft ... |
format |
Article in Journal/Newspaper |
author |
H. Yamashita F. Yin V. Grewe P. Jöckel S. Matthes B. Kern K. Dahlmann C. Frömming |
author_facet |
H. Yamashita F. Yin V. Grewe P. Jöckel S. Matthes B. Kern K. Dahlmann C. Frömming |
author_sort |
H. Yamashita |
title |
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
title_short |
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
title_full |
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
title_fullStr |
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
title_full_unstemmed |
Newly developed aircraft routing options for air traffic simulation in the chemistry–climate model EMAC 2.53: AirTraf 2.0 |
title_sort |
newly developed aircraft routing options for air traffic simulation in the chemistry–climate model emac 2.53: airtraf 2.0 |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/gmd-13-4869-2020 https://doaj.org/article/5bf25c0e65a04efcaa14c4e76bc0bc0c |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Geoscientific Model Development, Vol 13, Pp 4869-4890 (2020) |
op_relation |
https://gmd.copernicus.org/articles/13/4869/2020/gmd-13-4869-2020.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-13-4869-2020 1991-959X 1991-9603 https://doaj.org/article/5bf25c0e65a04efcaa14c4e76bc0bc0c |
op_doi |
https://doi.org/10.5194/gmd-13-4869-2020 |
container_title |
Geoscientific Model Development |
container_volume |
13 |
container_issue |
10 |
container_start_page |
4869 |
op_container_end_page |
4890 |
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