Model:PySBeLT

PySBeLT

This code has been community reviewed and published in the open access Journal of Open Source Software (JOSS)

Also known as
Model type	Tool
Model part of larger framework
Note on status model
Date note status model

Incorporated models or components:

Spatial dimensions	1D
Spatial extent	Patch-Scale
Model domain	Terrestrial, Hydrology
One-line model description	A Python software package for stochastic sediment transport under rarefied conditions
Extended model description	pySBELT simulates the kinematics of rarefied particle transport (low rates) as a stochastic process along a riverbed profile. pySBeLT is short for Stochastic Bed Load Transport.

Keywords:	Bed Load Transport, bedload transport, Sediment Transport,

Name	Sarah Zwiep
Type of contact	Model developer
Institute / Organization	Simon Fraser University
Postal address 1
Postal address 2
Town / City	Burnaby BC
Postal code	V5A 1S6
State
Country	Canada
Email address	--URIs of the form "--" are not allowed.
Phone
Fax

Supported platforms	Unix, Mac OS, Windows
Other platform
Programming language	Python
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2021
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status	Active
When did you indicate the 'code development status'?	2024
Model availability	As code
Source code availability (Or provide future intension)	Through web repository
Source web address	https://github.com/szwiep/py_SBeLT
Source csdms web address
Program license type	BSD or MIT X11
Program license type other
Memory requirements	--
Typical run time	--

Describe input parameters	--
Input format	ASCII
Other input format
Describe output parameters	the vertical and horizontal positions of every particle center, the randomly sampled number of entrainment events, the number of particles actually entrained, the actual particle travel distance, the particle ‘age’, or the number of numerical steps since last entrainment for every particle, and the number of particles which cross all boundaries, i.e. sub-region and downstream at x_max
Output format	Binary
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	No
If above answer is yes
Other visualization software

Describe processes represented by the model	--
Describe key physical parameters and equations	--
Describe length scale and resolution constraints	--
Describe time scale and resolution constraints	--
Describe any numerical limitations and issues	--

Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments

This part will be filled out by CSDMS staff

Can be coupled with:

Model info

Authors

Sarah Zwiep

Chartrand

Source code

Model citations

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Featured publication(s)	Year	Model described	Type of Reference	Citations
Zwiep, Sarah; Chartrand, Shawn M.; 2022. pySBeLT: A Python software package for stochastic sediment transport under rarefied conditions. Journal of Open Source Software, 7, 4282. 10.21105/joss.04282 (View/edit entry)	2022	PySBeLT	Model overview	1
See more publications of PySBeLT