AeoLiS v2.1.0

doi:10.4121/22215562.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22215562
Datacite citation style:
de Vries, Sierd; Hallin, Caroline; van IJzendoorn, Christa; van Westen, Bart; Cohn, Nick et. al. (2023): AeoLiS v2.1.0. Version 3. 4TU.ResearchData. software. https://doi.org/10.4121/22215562.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
choose version:
version 3 - 2023-07-03 (latest)
version 2 - 2023-06-16 version 1 - 2023-03-08

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.


The maintenance and development is done by the AEOLIS developer team: Current members are: 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 and Janelle Skaden at U.S. Army Engineer Research and Development Center (ERDC).

Previous members are: Bas Hoonhout (founder), Tom Pak, Pieter Rauwoens and Lisa Meijer


During a paper revision, a change was made to the transport.py file. This change is not included in the original AeoLiS v2.1.0 version (.tar.gz-file). Therefore, we have added a separate transport.py file that contains a, newly implemented, grain-size dependent Bagnold equation. This change will be included in future versions of AeoLis.

history
  • 2023-03-08 first online
  • 2023-07-03 published, posted
publisher
4TU.ResearchData
format
.py files
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)