Diffusion-based smoothers for coarse graining GCM data

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Project description

GCM Filters

pre-commit Tests Documentation Status

Diffusion-based smoothers for coarse-graining GCM data.

Documentation and code

URLs for the docs and code.

Installation

For conda users you can

conda install --channel conda-forge gcm_filters

or, if you are a pip users

pip install gcm_filters

Example

from gcm_filters import gcm_filters


gcm_filters.meaning_of_life_url()

Get in touch

Report bugs, suggest features or view the source code on GitHub.

License and copyright

ioos_pkg_skeleton is licensed under BSD 3-Clause "New" or "Revised" License (BSD-3-Clause).

Development occurs on GitHub at https://github.com/ocean-eddy-cpt/gcm-filters.

Project details

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Maintainers
Avatar for rabernat from gravatar.com rabernat

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Release history Release notifications | RSS feed

0.5.0

0.3.0

0.2.3

0.2.2

0.2.1

0.2

0.1.3

0.1.2

0.1.1

This version

0.1

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Source Distribution

gcm_filters-0.1.tar.gz (4.8 MB view hashes)

Uploaded Source

Built Distribution

gcm_filters-0.1-py3-none-any.whl (11.3 kB view hashes)

Uploaded Python 3

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