Lab-0020: Difference between revisions

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{{LabNotes
{{LabNotes
|LabNotesInstructions=Foo bar baz
|LabNotesInstructions=Foo bar baz
|LabNotesRequirements=If run locally, this lab requires the installtion of the Python packages ''numpy'', ''matplotlib'', ''landlab'', ''dmsh'', ''anuga'', itkwidgets, and ''pyvista''. See https://jayaramhariharan.com/meshing-with-landlab/dependencies for more detailed installation instructions.
|LabNotesFigure=Output 29 0.png
|LabNotesRequirements=If run locally, this lab requires the installtion of the Python packages ''numpy'', ''matplotlib'', ''landlab'', ''dmsh'', ''anuga'', ''itkwidgets'', and ''pyvista''. See https://jayaramhariharan.com/meshing-with-landlab/dependencies for more detailed installation instructions.
}}
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Revision as of 15:52, 7 December 2020

Alternative mesh generation for Landlab

Model
Landlab
Duration
1.0 hrs
Updated
2020-12-01
Download
download
Run online using:
     Jupyter logo.png

Contributor(s)
    Jay Hariharan at University of Texas at Austin.

Introduction
Output 29 0.png
This lab consists of three notebooks that use the mesh generator dmsh and the mesh generator from Anuga to create unstructured grids that are passed into Landlab. Examples contain code for creating Landlab models using these other mesh generators as a starting point. Only the flow accumulation and drainage area components are demo'd, but there are many other questions one might want to ask about the influence of cell resolution (and local cell resolution) on different landscape evolution processes. https://jayaramhariharan.com/meshing-with-landlab/index.html

Classroom organization
Foo bar baz

Learning objectives
Skills
  • Python
Key concepts
  • Gridding

Lab notes
Output 29 0.png
'
Foo bar baz

Requirements
If run locally, this lab requires the installtion of the Python packages numpy, matplotlib, landlab, dmsh, anuga, itkwidgets, and pyvista. See https://jayaramhariharan.com/meshing-with-landlab/dependencies for more detailed installation instructions.

References