Articles | Volume 16, issue 13
https://doi.org/10.5194/gmd-16-3723-2023
© Author(s) 2023. 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-16-3723-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
06 Jul 2023
Model description paper |
| 06 Jul 2023
| 06 Jul 2023
Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0
Abolfazl Simorgh
CORRESPONDING AUTHOR
Department of Aerospace Engineering, Universidad Carlos III de Madrid, Madrid, Spain
Manuel Soler
Department of Aerospace Engineering, Universidad Carlos III de Madrid, Madrid, Spain
Daniel González-Arribas
Department of Aerospace Engineering, Universidad Carlos III de Madrid, Madrid, Spain
Florian Linke
Hamburg University of Technology (TUHH), Hamburg, Germany
Deutsches Zentrum für Luft- und Raumfahrt, Air Transportation Systems, Hamburg, Germany
Benjamin Lührs
Hamburg University of Technology (TUHH), Hamburg, Germany
Maximilian M. Meuser
Hamburg University of Technology (TUHH), Hamburg, Germany
Deutsches Zentrum für Luft- und Raumfahrt, Air Transportation Systems, Hamburg, Germany
Simone Dietmüller
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
Hiroshi Yamashita
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Feijia Yin
Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Federica Castino
Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Volker Grewe
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Faculty of Aerospace Engineering, Delft University of Technology, Delft, the Netherlands
Sabine Baumann
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Data sets
ERA5 hourly data on single levels from 1940 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47
Model code and software
Abolfazl-Simorgh/roost: Initial Release (v0.1.0) Abolfazl Simorgh https://doi.org/10.5281/zenodo.7121862
Short summary
This paper addresses the robust climate optimal trajectory planning problem under uncertain meteorological conditions within the structured airspace. Based on the optimization methodology, a Python library has been developed, which can be accessed using the following DOI: https://doi.org/10.5281/zenodo.7121862. The developed tool is capable of providing robust trajectories taking into account all probable realizations of meteorological conditions provided by an EPS computationally very fast.
This paper addresses the robust climate optimal trajectory planning problem under uncertain...
