Articles | Volume 16, issue 13
Model description paper
06 Jul 2023
Model description paper |  | 06 Jul 2023

Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0

Abolfazl Simorgh, Manuel Soler, Daniel González-Arribas, Florian Linke, Benjamin Lührs, Maximilian M. Meuser, Simone Dietmüller, Sigrun Matthes, Hiroshi Yamashita, Feijia Yin, Federica Castino, Volker Grewe, and Sabine Baumann

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Cited articles

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Appleman, H.: The formation of exhaust condensation trails by jet aircraft, B. Am. Meteorol. Soc., 34, 14–20, 1953. a
Baneshi, F., Soler, M., and Simorgh, A.: Conflict assessment and resolution of climate-optimal aircraft trajectories at network scale, Transport. Res. D-Tr. E., 115, 103592,, 2023. a
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55,, 2015. a, b, c
Benjumea, A. C.: Aspectos antropométricos de la población laboral española aplicados al diseño industrial, Instituto Nacional de Seguridad e Higiene en el Trabajo, Ministerio de Trabajo e inmigración, ISBN 84-7425-655-0, 2003 (in Spanish). a
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: 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.