Created page with "{{Labbasics |Labtitle=Including wildfires in a landscape evolution model |LabCOModule=1 of 1 |LabDateContributedOrUpdated=2021-10-27 |LabDescriptionShort=Explore the effect of..."
|LabDescription=This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
|LabDescription=This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
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.
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.
|LabPicture=BurnedAreaM.jpg
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.
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{{LabClassroomOrganization
|LabCOIntro=PARAPHRASED FROM IRINA's NOTEBOOK:
|LabCOIntro=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.
This lab can be run on the CSDMS JupyterHub. (Follow the instructions here to create an account if you don't already have one: https://csdms.colorado.edu/wiki/JupyterHub.)
Run the Jupyter Notebook by clicking the "start" link under the Run online heading at the top of this page.
If you have questions, please contact us through the CSDMS Help Desk: https://github.com/csdms/help-desk.
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{{LabNotes
{{LabNotes
|LabNotesInstructions=Run the Jupyter Notebook by clicking the "start" link under the Run online heading at the top of this page.
|LabNotesInstructions=<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>
<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>
|LabNotesRequirements=If run locally, this lab requires the installation of the following Python packages: ''landlab'', ''numpy'', ''imageio'', and ''matplotlib''
|LabAcknowledgements=This lab was created during CSDMS's ESPIn 2021 summer workshop. Thank you to everyone involved in organizing and teaching ESPIn.
|LabAcknowledgements=This lab was created during CSDMS's ESPIn 2021 summer workshop. Thank you to everyone involved in organizing and teaching ESPIn.
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{{LabReferences
|LabReferences=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
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{{LabReferences
|LabReferences=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.
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{{LabReferences
|LabReferences=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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Latest revision as of 13:24, 14 July 2022
Including Wildfires in a Landscape Evolution Model
This lab is appropriate for advanced undergraduates and graduate students majoring in earth science/engineering.
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.
Classroom organization 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.
Learning objectives Skills
Use Landlab to generate a grid
Use Fastscape and SPACE for landscape evolution
Create plots
Key concepts
Landscape evolution
Stream Power equation
Wildfires
Sediment flux
Lab notes
This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel.
Requirements If run locally, this lab requires the installation of the following Python packages: landlab, numpy, imageio, and matplotlib
Acknowledgements This lab was created during CSDMS's ESPIn 2021 summer workshop. Thank you to everyone involved in organizing and teaching ESPIn.
References
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, 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.
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.
