Processing tools for large ensembles of CMIP type netcdf data
cmipdata is a python package for preprocessing and analysis of climate model data in standardized NetCDF files, such as those used in the Coupled Model Intercomparison Project (CMIP). With cmipdata processing hundreds of NetCDF files that make up a large model ensemble is easy. cmipdata is the python wrapper that intelligently interfaces with the ensemble of model data, while the underlying data processing is done efficiently and transparently using Climate Data Operators (cdo). Limited functionality for loading processed data into numpy arrays and making basic plots is also provided.
Common operations and some example analyses that can be applied across the whole model ensemble with only one or two commands are:
- joining model time-slices (or experiments)
- spatial remapping to a common grid
- selecting a specific time-interval or spatial region
- computing a climatology or an anomaly
- calculating an area mean or integral
- calculating more advanced metrics such as Arctic sea-ice extent
Documentation is rendered at https://cmipdata.readthedocs.org and is included in the docs/ directory.
Neil Swart, CCCma, Environment Canada: Neil.Swart@canada.ca
David Fallis, University of Victoria: email@example.com
Pull requests and comments are welcome.
See the LICENSE.txt file in the cmipdata package. cmipdata is distributed under the GNU General Public License version 2, and the Open Government License - Canada (http://data.gc.ca/eng/open-government-licence-canada)