https://github.com/mcgibbon/marble

Machine Assisted Boundary Layer Emulation, a moist turbulence parameterization in Sympl
https://github.com/mcgibbon/marble

atmospheric-modeling atmospheric-science machine-learning numerical-integration sympl

Last synced: 5 months ago
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Machine Assisted Boundary Layer Emulation, a moist turbulence parameterization in Sympl

• Host: GitHub
• URL: https://github.com/mcgibbon/marble
• Owner: mcgibbon
• License: other
• Created: 2019-06-11T20:52:09.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-26T20:47:40.000Z (over 3 years ago)
• Last Synced: 2024-06-11T17:33:11.074Z (about 2 years ago)
• Topics: atmospheric-modeling, atmospheric-science, machine-learning, numerical-integration, sympl
• Language: Python
• Size: 2.64 MB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
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MARBLE

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.. image:: https://img.shields.io/pypi/v/marble.svg

        :target: https://pypi.python.org/pypi/marble

.. image:: https://img.shields.io/travis/mcgibbon/marble.svg

        :target: https://travis-ci.org/mcgibbon/marble

.. image:: https://readthedocs.org/projects/marble/badge/?version=latest

        :target: https://marble.readthedocs.io/en/latest/?badge=latest

        :alt: Documentation Status

Machine Assisted Boundary Layer Emulation is a neural network based

parameterization for weather and climate models, using the Sympl framework.

It requires Python 3.

* Free software: BSD license

* Documentation: https://marble.readthedocs.io.