cis 1.7.4

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

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.