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Jupyter Notebook to demonstrate how to use the CSDMS data components for permafrost processes for a study area in Alaska

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Data Component Use Case for Permafrost Thaw and Hillslope Diffusion

MIT license

This repository includes a Jupyter Notebook which demonstrates how to use several CSDMS Data Components to download topography, snow and temperature data to calculate the permafrost active layer thickness and simulate the hillslope diffusion process for a study area in Alaska.

This Jupyter Notebook is part of the work for a research paper "CSDMS Data Components: data-model integration tools for Earth surface processes modeling".

Notebook Citation

Gan, T., Tucker, G. E., Overeem, I., Pierce, E. (2024). Data Component Use Case for Permafrost Thaw and Hillslope Diffusion, HydroShare, https://doi.org/10.4211/hs.3e11df71c1724df18fe8fed9e0afdfa1

Run the Notebook

You can choose the following methods to run this Jupyter Notebook:

Method 1: CSDMS

Please go to the CSDMS EKT Lab and follow the instruction in the "Lab notes" section to run this notebook.

Method 2: Local PC

Please first download all the files from this repository and have conda installed on the local PC. Then, use the following commands to create a virtual environment and launch the Jupyter Notebook. The code below works best on Mac OS or Linux and may cause some errors on Windows.

$ cd permafrost_usecase
$ conda env create --file=environment.yml
$ conda activate permafrost_usecase
$ jupyter notebook

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Jupyter Notebook to demonstrate how to use the CSDMS data components for permafrost processes for a study area in Alaska

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