A process-based model for simulating supply-limited aeolian sediment transport
Project description
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.
https://github.com/openearth/aeolis-python/assets/14054272/128684d6-73ac-4a5f-a186-51559679bd66
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-pythondirectory and install using pipcd 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file aeolis-3.0.1.tar.gz.
File metadata
- Download URL: aeolis-3.0.1.tar.gz
- Upload date:
- Size: 42.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf1b124770f2605a7bced9d96a8390ad2620d77ff3839d7abf4ab5d6eeb437cc
|
|
| MD5 |
49f5163095b44ac664c74eae394810a3
|
|
| BLAKE2b-256 |
aaa2ca419a435ffa81b39e3b817420fd295ae3e73f570030a780ac1d7a8bf21a
|
File details
Details for the file aeolis-3.0.1-py3-none-any.whl.
File metadata
- Download URL: aeolis-3.0.1-py3-none-any.whl
- Upload date:
- Size: 43.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db41f4c78047d43f0cbce20019de35faf5b77c04c55afc05ee6ea3ae3b268e4b
|
|
| MD5 |
1292e93f0bb6a195ba14eed24f31602a
|
|
| BLAKE2b-256 |
0818e5a3390e90c8073b4cd89c743886d16a249ef468198f70d502a801484ae6
|