https://github.com/vacumm/sonat
Stochastic ocean Observing Network Assessment Toolkit
https://github.com/vacumm/sonat
ensemble modelisation oceanography stochastic
Last synced: 8 months ago
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Stochastic ocean Observing Network Assessment Toolkit
- Host: GitHub
- URL: https://github.com/vacumm/sonat
- Owner: VACUMM
- License: other
- Created: 2016-12-01T09:14:29.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2019-11-22T08:18:42.000Z (about 6 years ago)
- Last Synced: 2025-06-25T03:09:16.345Z (8 months ago)
- Topics: ensemble, modelisation, oceanography, stochastic
- Language: Python
- Homepage:
- Size: 1.61 MB
- Stars: 1
- Watchers: 4
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.rst
- License: LICENSE
Awesome Lists containing this project
README
SONAT - Stochastic ocean Observing Network Assessment Toolkit
=============================================================
.. image:: https://travis-ci.org/VACUMM/sonat.svg?branch=master
:target: https://travis-ci.org/VACUMM/sonat
SONAT is intended to help designing multivariate, multiplatform
ocean observation networks using ocean model ensembles
and the Array Modes (ArM) method.
It takes the form of a python platform that
has a commandline user interface and
a library, with configuration and
extension capabilities.
Installation
------------
With `conda `_::
$ conda install -c vacumm -c conda-forge -c defaults sonat
It will also install the `VACUMM `_
and `SANGOMA `_ packages,
and their respective dependencies.
Documentation
-------------
SONAT comes with a full `documentation `_.
Sources and help
-----------------
Source are available on the SONAT `github page `_.
Here you can also post tickets for requests and issues.
Release notes
-------------
Release notes for all tags and versions are available
`here `_.
License
-------
VACUMM is under the CeCiLL license,
which is compatible with well known GPL license,
and is a property of `IFREMER `_.
Credits
-------
The first version of SONAT was developped by `Actimar `_,
in collaboration with the `CNRS/LEGOS `_,
for `IFREMER `_ thanks to a grant from the
`CPER ROEC `_.
Contacts
--------
* Guillaume Charria
* Stéphane Raynaud
* Pierre De Mey