The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/06dd1e90-281f-4735-9b13-50582c301822

van Westen, Bart; de Vries, Sierd; Cohn, Nicholas; Christa van IJzendoorn; Strypsteen, Glenn et. al. (2025): Data and scripts underlying the publication: AeoLiS: Numerical modelling of coastal dunes and aeolian landform development for real-world applicationsc. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/06dd1e90-281f-4735-9b13-50582c301822.v1

Categories

• Civil Engineering
• Environmental Engineering
• Engineering

Keywords

Aeolian sediment transport Blowout Coastal dunes Dune geomorphology Dune vegetation Embryo dune Parabolic dune

Licence

GPL-3.0

Collection

• Data and scripts underlaying the PhD Dissertation of Bart van Westen

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by Bart van Westen , Sierd de Vries , Nicholas Cohn , Christa van IJzendoorn , Glenn Strypsteen, Caroline Hallin

This dataset encompasses numerical modeling research investigating coastal dune development and evolution through process-based simulations. The research aims to enhance understanding of aeolian landform dynamics by implementing sediment transport modeling across four distinct scenarios: Moroccan barchan dunes, parabolic dunes, embryo dunes and blowout notches. Data were collected using publicly available sources including ERA5 wind reanalysis datasets and LiDAR topographic measurements, with modeling performed using the AeoLiS model. The dataset includes model configurations, simulation outputs, analysis scripts, and visualizations, providing a detailed examination of coastal dune morphodynamics through advanced computational techniques that integrate wind-driven sediment transport, vegetation dynamics, and topographic interactions.

History

• 2025-04-08 first online, published, posted

Publisher

4TU.ResearchData

Format

*.nc / *.py / *.npy

Associated peer-reviewed publication

AeoLiS: Numerical modelling of coastal dunes and aeolian landform development for real-world applications

References

• https://github.com/openearth/aeolis-python/tree/deVries2023
• https://doi.org/10.4121/22215562

Funding

• This work is part of the research programme DuneForce with project number 17064 which is (partly) financed by the Dutch Research Council (NWO).

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Coastal Engineering

Deltares, Delft, the Netherlands