https://github.com/coecms/aus400-cookbook

Notebooks and library for working with Aus400 data

https://github.com/coecms/aus400-cookbook

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.0%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Notebooks and library for working with Aus400 data

Basic Info
Statistics
  • Stars: 2
  • Watchers: 6
  • Forks: 1
  • Open Issues: 3
  • Releases: 0
Created almost 6 years ago · Last pushed almost 5 years ago
Metadata Files
Readme

README.rst

aus400-cookbook
===============

.. image:: https://readthedocs.org/projects/aus400-cookbook/badge/?version=latest
    :target: https://aus400-cookbook.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation
.. image:: https://zenodo.org/badge/288881176.svg
    :target: https://zenodo.org/badge/latestdoi/288881176
    :alt: DOI

Notebooks and library for working with Aus400 data 

Aus400 is a large-scale high resolution simulation of the atmosphere over the
Australian continent during the landfall of Tropical Cyclone Debbie, from
20170327 to 20170329 run at NCI by the ARC Centre of Excellence for Climate
Extremes and the Bureau of Meterology for the testing of the Gadi
supercomputer.

This cookbook provides tools for working with the 50 TB of output produced by
the model run. It is intended to be run at NCI facilities, either on the VDI
virtual desktop or on the Gadi compute nodes.

The directory 'aus400' contains a library with helper functions for loading
data as Xarray objects with appropriate Dask chunking.  Documentation is
available at https://aus400-cookbook.readthedocs.io.

The 'notebooks' directory contains sample analyses of the dataset using these
functions and the `'analysis3' conda environment
`_ managed by CLEX CMS at NCI

`Contributions
`_
to this repository of functions or notebooks are welcome.

Sample Notebooks
----------------

`Introduction to the Cookbook `_

`Rendering the 400m domain using pillow `_

`Vertical Interpolation `_

`Cross Sections `_

Using the Cookbook
------------------

Download the repository to Gadi or VDI::

    git clone https://github.com/coecms/aus400-cookbook

Open a Jupyter notebook (e.g. using `gadi_jupyter or vdi_jupyter.py `_)

Navigate to the repository's notebooks directory, and start your notebook with::

    import sys
    sys.path.append('../')
    import aus400

Owner

  • Name: ARC COE for Climate Extremes: Computational Modelling Systems
  • Login: coecms
  • Kind: organization

GitHub Events

Total
Last Year

Dependencies

environment.yaml conda
  • climtas
  • pandas
  • python >=3.8
  • xarray