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
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version 2 - 2023-06-16 (latest)
version 1 - 2023-03-08
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licence
GPL-3.0
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)
- 1,530,469,515 bytesMD5:
1333fe7f5f614e2ee80bf869bbac1733
grainsizeanalysis-aeolis-withoutput.zip - 1,038,388 bytesMD5:
24455d85e5aec87fc4b7efdfd23020c5
grainsizeanalysis-aeolis.zip -
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