Community Intercomparison Suite
Project description
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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
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.
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