Data accompanying the manuscript "Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0"

DOI:10.4121/57b96974-6ec7-4e86-9d95-2b7bf3c18d8f.v1
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DOI: 10.4121/57b96974-6ec7-4e86-9d95-2b7bf3c18d8f
Datacite citation style:
Castino, Federica; Yin, Feijia; Yamashita, Hiroshi (2023): Data accompanying the manuscript "Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/57b96974-6ec7-4e86-9d95-2b7bf3c18d8f.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains the properties of optimized aircraft trajectories, exploring trade-offs between reducing flight operating costs (considering flight time and fuel used) and climate impact. The objective of the dataset is to allow the comparison of optimal solutions selected using different decision-making strategies. The dataset was obtained running the ECHAM/MESSy Atmospheric Chemistry (EMAC) model and its submodel AirTraf, including the newly developed SolFinder module. The dataset was used to obtain the results presented in Castino, F., et al.: Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0, submitted to Geosci. Model Dev., 2023.

History

  • 2023-06-28 first online, published, posted

Publisher

4TU.ResearchData

Format

netCDF, DAT

Funding

  • FlyATM4E (grant code 891317) [more info...] H2020 SESAR joint undertaking

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Control and Operations, Section Aircraft Noise and Climate Effects (ANCE)
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre

DATA

Files (1)