Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

MurCSS: A Tool for Standardized Evaluation of Decadal Hindcast Systems

Project description

A Tool for Standardized Evaluation of Decadal Hindcast Systems

This Readme is for the MurCSS tool.

The main documentation can be found here /doc/build/index.html and here

Download and install MurCSS via pypi
pip install murcss

MurCSS needs some additional python packages. If you install MurCSS using pypi, they will be downloaded and installed automatically.
* Matplotlib >= 1.1.0
* Basemap
* NumPy >= 1.5.0
* SciPy >= 0.8.0
* CDOpy

Additionally MurCSS requires a working binary of the Climate Data Operators (CDO >= 1.5.4).

After installation you can use the tool typing `murcss` in your terminal.
* Help:
murcss --help

Now you can see all parameters accepted by MurCSS.

* Outside of MiKlip:

If you are using MurCSS outside of MiKlip, you have to set the `file_system = 'custom'` and specify your data structure in ``.

#If you are working on your own filesystem specify the folder structure:
"defaults" : {}


* Generate Sample output:

Download the files in /sample_data/ and the files in /sample_output/. Adjust the DATA_STRUCTURE to your system. Now you can generate the sample output using
murcss variable=tas project1=baseline1 ...

Download the files in /integration/tests/ and navigate to the directory.
Now you can run the tests using
python -m unittest discover . '*'
Currently some of the tests are designed for the MiKlip file system. Therfore they are commented out.

Support, Issues, Bugs
Please open an issue on GitHub or write an email to

Copyright (C) 2014 Sebastian Illing This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Project details

Release history Release notifications

This version
History Node


History Node


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
murcss-1.6.1.tar.gz (57.7 kB) Copy SHA256 hash SHA256 Source None Nov 19, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page