Python code for the analysis of AeoLiS grain size scenarios

Datacite citation style

Christa van IJzendoorn (2023): Python code for the analysis of AeoLiS grain size scenarios. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/22220134.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

Version 2 - 2023-06-16 (latest)
Version 1 - 2023-03-08

This repository contains the Python code that was used to analyze grain size scenarios simulated with AeoLiS, as presented in:

- van IJzendoorn, C.O., Hallin, C., A.J.H.M. Reniers, de Vries, S. (submitted) Modeling multi-fraction coastal aeolian sediment transport with horizontal and vertical grain size variability.


A second zip file is attached that contains the output that can be created with the scripts that are available in this repository and at Github.


History

  • 2023-03-08 first online, published, posted

Publisher

4TU.ResearchData

Format

.py files for creation of input data and analysis .txt files for model input .nc and .log files for model output .png files for figures

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

DATA

Files (2)