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Creation date"Creation date" is a predefined property that corresponds to the date of the first revision of a subject and is provided by <a target="_blank" rel="nofollow noreferrer noopener" class="external text" href="https://www.semantic-mediawiki.org/wiki/Help:Special_properties">Semantic MediaWiki</a>.
13:04:20, 2 June 2020 +
Jupyter Notebook +
2.0 hrs +
This is a self-contained jupyter notebook … This is a self-contained jupyter notebook using meander py. It is recommended the instructor introduces concepts of meandering rivers, and students read papers on meadner migration rate - i.e. the papers directly associated with the model. Students can run through the examples, and then assignments can be worked on plenary in a lab style class or as homework. </br>It is recommended that results are being discussed plenary after the completion of the exercises.ary after the completion of the exercises. +
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MeanderRiverDynamics slides.ppt +
April 19, 2022 +
<p>Meanderpy is a Python package tha … <p>Meanderpy is a Python package 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". </br>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 and Knutson, 1984 paper this is a nonlinear relationship based on field observations that suggested a complex link between curvature and migration rate.</p></br></br><p>In the 'meanderpy' package we use this 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).</p></br></br><p>You can read more about the model, find references at: https://csdms.colorado.edu/wiki/Model:Meanderpy.<p></br></br><p>There is a keynote lecture on the concepts behind this model that you can watch here: </br>https://csdms.colorado.edu/wiki/Presenters-0433</p>this model that you can watch here:
https://csdms.colorado.edu/wiki/Presenters-0433</p> +
Meanderpy uses 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. +
Meanderpy +
<p>Notes are in the associated Jupyt … <p>Notes are in the associated Jupyter Notebook.</p></br></br><p>This lab can be run on the <em>lab</em> (for educators) and <em>jupyter</em> (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the <strong>Run online using</strong> heading at the top of this page, then run the notebook in the "CSDMS" kernel.</p></br></br><p>If you don't already have a JupyterHub account, follow the instructions to sign up at https://csdms.colorado.edu/wiki/JupyterHub. If you're an educator, you can get JupyterHub accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p>accounts for students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p> +
Image:meanderpyexample2.png +
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19:46:07, 19 April 2022 +
