CIS
===

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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
-------

Philip.Kershaw@stfc.ac.uk, Philip.Stier@physics.ox.ac.uk or Duncan.Watson-Parris@physics.ox.ac.uk


Copyright and licence
---------------------

(C) 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.
