https://github.com/permamodel/permamodel

Permafrost models with a Basic Model Interface
https://github.com/permamodel/permamodel

bmi csdms modeling permafrost python

Last synced: 5 months ago
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Permafrost models with a Basic Model Interface

• Host: GitHub
• URL: https://github.com/permamodel/permamodel
• Owner: permamodel
• License: mit
• Created: 2016-04-27T21:05:18.000Z (almost 9 years ago)
• Default Branch: main
• Last Pushed: 2023-05-12T20:59:55.000Z (almost 2 years ago)
• Last Synced: 2024-11-20T06:06:37.403Z (5 months ago)
• Topics: bmi, csdms, modeling, permafrost, python
• Language: Python
• Homepage: https://permamodel.github.io
• Size: 50.5 MB
• Stars: 16
• Watchers: 8
• Forks: 16
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

• open-sustainable-technology - Permamodel - A collection of numerical permafrost models with a range of capability and complexity. (Cryosphere / Snow and Permafrost)

README

        
[![PyPI](https://img.shields.io/pypi/v/permamodel)](https://pypi.org/project/permamodel)

[![Conda Version](https://img.shields.io/conda/vn/conda-forge/permamodel.svg)](https://anaconda.org/conda-forge/permamodel)

[![Basic Model Interface](https://img.shields.io/badge/CSDMS-Basic%20Model%20Interface-green.svg)](https://bmi.readthedocs.io/)

[![Test](https://github.com/permamodel/permamodel/actions/workflows/test.yml/badge.svg)](https://github.com/permamodel/permamodel/actions/workflows/test.yml)

[![Coverage Status](https://coveralls.io/repos/github/permamodel/permamodel/badge.svg?branch=main)](https://coveralls.io/github/permamodel/permamodel?branch=main)

permamodel

==========

Permamodel is a collection of numerical permafrost models.

This repository contains source code and examples for two models:

* Frost number

* Ku

For more information,

see the project home page: https://permamodel.github.io.

Installation

------------

Permamodel can be installed with `pip`:

```

$ pip install permamodel

```

or with `conda`:

```

$ conda install -c conda-forge permamodel

```

We recommend installing permamodel into a Python virtual environment.