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18:08:36, 27 October 2021 +
This lab was created during CSDMS's ESPIn 2021 summer workshop. Thank you to everyone involved in organizing and teaching ESPIn. +
Jupyter Notebook +
1.0 hrs +
This Jupyter Notebook is best for people w … This Jupyter Notebook is best for people who already have a conceptual understanding of earth surface processes and want to learn how these apply to numerical modeling, landscape evolution, and sediment flux. Although no Python skills are required to run the notebook, those with an intermediate understanding of Python will be able to learn more by reading the code.be able to learn more by reading the code. +
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October 27, 2021 +
This lab is appropriate for advanced under … This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.</br></br></br>We will use Landlab to generate a grid, use two different landscape evolution models (LEMs) to evolve a synthetic landscape, apply stochastic wildfires that increase erodibility, and plot various maps and graphs. Though no real-world data are used, the landscape relief is statistically realistic and roughly approximate to the Wasatch mountains in Utah.roximate to the Wasatch mountains in Utah. +
Explore the effect of stochastic wildfires on riverine sediment flux. We use the SPACE model to simulate fluvial processes and introduce a stochastic wildfire model. Students can experiment by changing the rate of fires and other parameters. +
SPACE +
<p>This lab can be run on the <em … <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> students--please contact us through the CSDMS Help Desk: https://csdms.github.io/help-desk.</p> +
If run locally, this lab requires the installation of the following Python packages: ''landlab'', ''numpy'', ''imageio'', and ''matplotlib'' +
Image:BurnedAreaM.jpg +
Braun, J., Willett, S. (2013). A very efficient O(n), implicit and parallel method to solve the stream power equation governing fluvial incision and landscape evolution. Geomorphology 180-181(C), 170-179. https://dx.doi.org/10.1016/j.geomorph.2012.10.008 +, Shobe, C. M., Tucker, G. E., and Barnhart, … Shobe, C. M., Tucker, G. E., and Barnhart, K. R.: The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution, Geosci. Model Dev., 10, 4577–4604, https://doi.org/10.5194/gmd-10-4577-2017, 2017.://doi.org/10.5194/gmd-10-4577-2017, 2017. + and Campforts, B., Overeem, I., Gasparini, N.M., Piper, M., and Arthurs, L., 2021: Modeling earth surface processes for the future: ESPIn, a summer school focusing on cyber training and professional networking, 2021 AGU Fall Meeting, New Orleans, LA. +
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19:24:37, 14 July 2022 +
