Eric Hutton, Tian Gan
EarthCube Advancing the Analysis of HRT Workshop #2
May 10, 2023
Arizona State University, Tempe, AZ

This workshop will be divided into two parts. In the first half we will provide a brief tutorial introduction to the theory and implementation of Landlab for landscape evolution modeling. We will cover grid representation, working with data fields, and using Landlab components to create new integrated models.

In the second half we will turn our focus to how we can incorporate high-resolution topography data into the Landlab environment. In both parts participants will be able to run hands-on examples and be free to write and run their own Landlab code. This clinic is intended both for beginners, who may have little to no experience using the Landlab library, as well as for more advanced Landlab users. Prior experience with Python programming will be helpful.

Overview papers:

• Hobley et al. (2017) “all about”: https://doi.org/10.5194/esurf-5-21-2017
• Barnhart et al. (2020) Landlab 2.0: https://doi.org/10.5194/esurf-8-379-2020
• Tucker et al. (2022) CSDMS: https://doi.org/10.5194/gmd-15-1413-2022
• Digital repository on GitHub: https://github.com/landlab

Development: https://github.com/landlab/landlab
Documentation: https://landlab.readthedocs.io

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⚠️ NOTE: The EarthscapeHub lab instance is password-protected. Please contact your instructor about obtaining a login, or visit the CSDMS wiki page for more information.

If you would like to run these notebooks on your personal computer, you can do that too. You will need to have a Python installation (we recommend the Anaconda distribution, but others should work as well).

If you have git installed, you can get the lessons by cloning this repository,

git clone [email protected]:csdms/hrt_workshop

You can, alternatively, download a zip file of the repository.

Once you have the source code, install the necessary dependencies to run the notebooks into your current environment (either pip or conda/mamba should work),

cd hrt_workshop
pip install -r requirements.in