Model:Meanderpy: Difference between revisions

From CSDMS
m (Text replacement - "{{{{PAGENAME}}_autokeywords}}" to "")
m (Text replacement - "{{End headertab}}" to "{{End headertab}} {{{{PAGENAME}}_autokeywords}}")
 
Line 76: Line 76:
{{End a table}}
{{End a table}}
{{End headertab}}
{{End headertab}}
{{{{PAGENAME}}_autokeywords}}


<!-- PLEASE USE THE "EDIT WITH FORM" BUTTON TO EDIT ABOVE CONTENTS; CONTINUE TO EDIT BELOW THIS LINE -->
<!-- PLEASE USE THE "EDIT WITH FORM" BUTTON TO EDIT ABOVE CONTENTS; CONTINUE TO EDIT BELOW THIS LINE -->

Latest revision as of 20:19, 16 September 2020



Meanderpy


Metadata

Also known as
Model type Single
Model part of larger framework
Note on status model
Date note status model
Incorporated models or components:
Spatial dimensions 3D
Spatial extent Landscape-Scale, Reach-Scale
Model domain Terrestrial
One-line model description A simple kinematic model of meandering
Extended model description "meanderpy" is a Python module that implements a simple numerical model of meandering, the one described by Howard & Knutson in their 1984 paper "Sufficient Conditions for River Meandering: A Simulation Approach" (https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/WR020i011p01659). This is a kinematic model that is based on computing migration rate as the weighted sum of upstream curvatures; flow velocity does not enter the equation. Curvature is transformed into a 'nominal migration rate' through multiplication with a migration rate (or erodibility) constant; in the Howard & Knutson (1984) paper this is a nonlinear relationship based on field observations that suggested a complex link between curvature and migration rate. In the 'meanderpy' module we use a simple linear relationship between the nominal migration rate and curvature, as recent work using time-lapse satellite imagery suggests that high curvatures result in high migration rates (Sylvester et al., 2019).
Keywords:

fluvial morphodynamics, meandering,

Name Zoltan Sylvester
Type of contact Model developer
Institute / Organization The University of Texas at Austin
Postal address 1
Postal address 2
Town / City Austin
Postal code 78713-8924
State Texas
Country United States
Email address zoltan.sylvester@beg.utexas.edu
Phone
Fax


Supported platforms
Unix, Linux, Mac OS
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 2018
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'? 2020
Model availability As code
Source code availability
(Or provide future intension)
Through web repository
Source web address https://github.com/zsylvester/meanderpy
Source csdms web address
Program license type Apache public license
Program license type other
Memory requirements --
Typical run time minutes


Describe input parameters channel width (m), channel depth (m), padding (number of nodepoints along centerline), sampling distance along centerline, number of iterations, dimensionless Chezy friction factor, threshold distance at which cutoffs occur, migration rate constant (m/s), vertical slope-dependent erosion rate constant (m/s), time step (s), density of water (kg/m3), which time steps will be saved, approximate number of bends you want to model, initial slope (setting this to non-zero results in instabilities in long runs)
Input format ASCII
Other input format
Describe output parameters channel centerlines; 3d model
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 Simple linear relationship between the nominal migration rate and curvature
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

OpenMI compliant No but possible
BMI compliant No but possible
WMT component No but possible
PyMT component No but possible
Is this a data component
Can be coupled with:
Model info
Nr. of publications: 1
Total citations: 67
h-index: 1
m-quotient: 0.2
Qrcode Meanderpy.png
Link to this page



Introduction

History

References




Nr. of publications: 1
Total citations: 67
h-index: 1
m-quotient: 0.2



Featured publication(s)YearModel describedType of ReferenceCitations
Sylvester, Zoltán; Durkin, Paul; Covault, Jacob A.; 2019. High curvatures drive river meandering. Geology, 47, 263–266. 10.1130/G45608.1
(View/edit entry)
2019 Meanderpy
Model overview 67
See more publications of Meanderpy


Issues

Help

Input Files

Output Files