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: 10.4121/0021130c-4d1a-4902-a111-a9bab2317031

van Westen, Bart; Luijendijk, Arjen; de Vries, Sierd; Cohn, Nicholas; Leijnse, Tim et. al. (2025): Data and scripts underlying the publication: Predicting marine and aeolian contributions to the Sand Engine’s evolution using coupled modelling. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0021130c-4d1a-4902-a111-a9bab2317031.v1

Categories

• Civil Engineering
• Environmental Engineering
• Engineering

Keywords

AeoLiS Coast Coupled modelling Delft3D Flexible Mesh Dunes Mega nourishment Morphodynamics Numerical modelling Sand Engine Zandmotor

Geolocation

view on openstreetmap

Time coverage

2011 to 2016

Licence

CC BY 4.0

Collection

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

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Bart van Westen , Arjen Luijendijk, Sierd de Vries , Nicholas Cohn , Tim Leijnse, M.A. (Matthieu) de Schipper

This dataset presents interdisciplinary research on coastal morphodynamics, focusing on the development of a novel computational framework that couples marine and aeolian models to simulate coastal evolution. The study uses the Sand Engine mega-nourishment in the Netherlands as a case study, integrating multiple models including Delft3D Flexible Mesh, SWAN, and AeoLiS through the Basic Model Interface (BMI) to enable comprehensive cross-domain sediment transport simulation. Data sources include Digital Elevation Model (DEM) data, LiDAR measurements, Jetski surveys, and JarKus coastal measurements for the simulation setup. The research employed advanced computational techniques to explore interactions between marine and wind-driven sediment transport processes. The dataset contains model configurations, coupling framework scripts, model outputs, analysis tools, and visualization materials.

History

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

Publisher

4TU.ResearchData

Format

*.nc / *.py / *.npy

Organizations

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

Deltares, Delft, the Netherlands