AeoLiS

AeoLiS is a process-based model for simulating aeolian sediment transport in situations where supply-limiting factors are important, like in coastal environments. Supply-limitations currently supported are soil moisture contents, sediment sorting and armouring, bed slope effects, air humidity and roughness elements.

AEOLIS.animation.-.Parabolic.mp4

Installation

Requirements:

Python 3.9 or newer
pip 22.0 or newer
netCDF4

Installing from PyPI

On the comand line of your working environment (Bash/Shell, Conda, Mamba, or similar), run the following:

pip install aeolis

For Windows users, the recommend way to install AeoLiS is to use Anaconda.

Installing from source

Clone the repository using Git, or download the source code.
AeoLiS users may install the package with only the required dependencies. Go to aeolis-python directory and install using pip
```
cd aeolis-python/
pip install .
```
AeoLiS users who intend to modify the sourcecode can install additional dependencies for test and documentation as follows. Go to root directory aeolis-python/ and:
```
pip install -e .[dev]
```

Running AeoLiS

Examples from command line:

aeolis run <path/to/aeolis.txt/>
# or wind module
aeolis wind <path/to/wind.txt> --mean=6 --duration=3600

Documentation

Detailed documentation can be found at AeoLiS ReadTheDocs

AeoLiS Developer Team

The maintenance and development is done by a group of very enthusiastic people.

Get Involved: Read our Contribution Guidelines to know how you can help to develop AeoLiS.

Current Members:

Bart van Westen at Deltares
Nick Cohn at U.S. Army Engineer Research and Development Center (ERDC)
Sierd de Vries (founder) at Delft University of Technology
Christa van IJzendoorn at Delft University of Technology
Caroline Hallin at Delft University of Technology
Glenn Strypsteen at Katholieke Universiteit Leuven
Janelle Skaden at U.S. Army Engineer Research and Development Center (ERDC)

Previous Members & Contributors:

Bas Hoonhout (founder)
Tom Pak
Pieter Rauwoens
Lisa Meijer

Citation

Please, cite this software as follows:

de Vries, S., Hallin, C., van IJzendoorn, C., van Westen, B., Cohn, N., Strypsteen, G., Skaden, J., Agrawal, N., & Garcia Alvarez, M. (2023). AeoLiS (Version 3.0.1) [Computer software]. https://github.com/openearth/aeolis-python

Acknowlegdements

AeoLiS is supported by the Digital Competence Centre, Delft University of Technology.
The contributing guidelines for AeoLiS are derived from the NLeSC/python-template and numpy contributing guide

© (2023) AeoLiS Development Team, Delft, The Netherlands.

License

openearth/aeolis-python

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