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
choose version: 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)