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https://github.com/mheikenfeld/wrfcube

Load WRF output into Iris cubes
https://github.com/mheikenfeld/wrfcube

iris iris-cubes postprocessing wrf

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Load WRF output into Iris cubes

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wrfcube
======

[![DOI](https://zenodo.org/badge/63322176.svg)](https://zenodo.org/badge/latestdoi/63322176)
[![Documentation Status](https://readthedocs.org/projects/wrfcube/badge/?version=latest)](https://wrfcube.readthedocs.io/en/latest/?badge=latest)
[![Build Status](https://travis-ci.org/mheikenfeld/wrfcube.svg?branch=master)](https://travis-ci.org/mheikenfeld/wrfcube)

Documentation
-------------

Load WRF output into nice Iris cubes

Installation
------------

Required packages: iris xarray numpy cf_units

If you are using anaconda, the following command should make sure all dependencies are met and up to date:
```
conda install -c conda-forge iris xarray cf_units
```

You can directly install the package directly from github with pip and either of the two following commands:
```
pip install --upgrade git+ssh://git@github.com/mheikenfeld/wrfcube.git
pip install --upgrade git+https://github.com/mheikenfeld/wrfcube.git
```

You can also clone the package with any of the two following commands
```
git clone git@github.com:mheikenfeld/wrfcube.git
git clone https://github.com/mheikenfeld/wrfcube.git
```

and install the package from the locally cloned version:
```
pip install --upgrade wrfcube/
```
(the trailing "/" actually matters here..)