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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.

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Diffusion-based smoothers for coarse graining GCM data

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  • Jupyter Notebook 99.5%
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