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https://github.com/csdms/hrt_workshop


https://github.com/csdms/hrt_workshop

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# Model-Data Integration with Landlab



[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://github.com/csdms/hrt_workshop/blob/master/LICENSE.txt)

[![Run on EarthscapeHub][badge]][jhub-link]



Eric Hutton, Tian Gan\

[EarthCube Advancing the Analysis of HRT Workshop #2][hrt-workshop]\

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.



# https://github.com/csdms/hrt_workshop



## 🔗 Useful Links



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



## 🚀 Run the lessons



👉 [![Run on EarthscapeHub][badge]][jhub-link] 👈



> ⚠️ **NOTE:** The EarthscapeHub *lab* instance is password-protected.

  Please contact your instructor about obtaining a login,

  or visit [the CSDMS wiki][jhub-info] page for more information.



### Local installation



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][anaconda-download], 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][hrt-workshop-zip] 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



![login_plot](login.png)



[anaconda-download]: https://www.anaconda.com/download

[badge]: https://img.shields.io/badge/Run%20on-EarthscapeHub-green

[hrt-workshop]: https://opentopography.org/workshops/earthcube-advancing-analysis-hrt-workshop-2

[hrt-workshop-zip]: https://github.com/csdms/hrt_workshop/archive/refs/heads/master.zip

[jhub-info]: https://csdms.colorado.edu/wiki/JupyterHub

[jhub-link]: https://lab.openearthscape.org/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fcsdms%2Fhrt_workshop&urlpath=tree%2Fhrt_workshop%2Fwelcome.ipynb&branch=master

[landlab-dev]: https://github.com/landlab/landlab/

[landlab-docs]: https://landlab.readthedocs.io/