Unified Model to NetCDF Post-processing: um2nc

About

um2nc is a Python3 utility to convert Unified Model data files to NetCDF format.

The um2nc-standalone project is an ACCESS-NRI initiative to merge multiple versions of Unified Model NetCDF conversion tool to a single, canonical project.

Installation

Gadi

On Gadi, um2nc is available within the vk83 payu environment. To access it, run:

module use /g/data/vk83/modules
module load payu

Important

You need to be a member of the vk83 project on NCI to access the module. For more information check how to Join relevant NCI projects

Local installation

um2nc is available as a conda package in the access-nri conda channel. To install it run:

conda install accessnri::um2nc

Development/Testing instructions

For development/testing, it is recommended to install um2nc as a development package within a micromamba/conda testing environment.

Clone um2nc-standalone GitHub repo

git clone git@github.com:ACCESS-NRI/um2nc-standalone.git

Create a micromamba/conda testing environment

Tip

In the following instructions micromamba can be replaced with conda.

cd um2nc-standalone
micromamba env create -n um2nc_dev --file .conda/env_dev.yml
micromamba activate um2nc_dev

Install um2nc as a development package

pip install --no-deps --no-build-isolation -e .

Running the tests

The um2nc-standalone project uses pytest and pytest-cov.
To run the tests and generate print a coverage report (with missing lines) run:

python3 -m pytest --cov-report=term-missing --cov=um2nc

Tip

To generate an HTML coverage report substitute term-missing with html.

User documentation

TODO: this needs to cover:

1. Running um2netcdf standalone
2. Using the workflow run script
3. Using um2netcdf as an API

Further information

TODO