cis 1.7.3

Community Intercomparison Suite

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v1.4.0 DOI: [](http://dx.doi.org/10.5281/zenodo.59939)

CIS is an open source Python library and command-line tool for the easy collocation, visualization, analysis, and comparison of a diverse set of gridded and ungridded datasets used across earth sciences. Visit our homepage at www.cistools.net.

For issue tracking and improvement suggestions please see our JIRA project at: https://jira.ceh.ac.uk/projects/JASCIS/issues.

Installation

A pre-packaged version of CIS is available for installation using conda for Linux, Mac OSX and Windows.

Once conda is installed, you can easily install CIS with the following command:

conda install -c conda-forge cis

If you don’t already have conda, you must first download and install it. Anaconda is a free conda package that includes Python and many common scientific and data analysis libraries, and is available here: http://continuum.io/downloads. Further documentation on using Anaconda and the features it provides can be found here: http://docs.continuum.io/anaconda/index.html

More details for installing CIS from source, and other package sources, can be found in the get-started [documentation](http://cistools.net/get-started#installation).

Contact

[e-mail], [e-mail] or [e-mail]

Copyright and licence

3. University of Oxford 2013

This file is part of the Community Intercomparison Suite (CIS).

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

CIS 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 Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with CIS. If not, see <http://www.gnu.org/licenses/>.

We gratefully use a number of NASA Visible Earth ‘Blue Marble’ raster images in this repository.