pyCMBS is a simple and flexible toolkit to perform quick analysis of geospatial data, visualize it as well as to perform benchmarking of climate model simulations. Its a very lightweight and powerful tool, easy to install and to use. pyCMBS comes with full python power included.
Why and when should you use pyCMBS?
Geospatial data analysis ...
- you work with geospatial data
- you work a lot with netCDF files
- you analyze timeseries
- you do geostatistical analysis
- you want to generate nice looking maps
- you are bored in re-coding you own scripts, but want to increase your scientific throughput using a powerfull tool just using a few lines of code?
Model benchmarking ... the easy way!
- you are widely using models or are developing models?
- you want to know how good your model performs
- you search for a flexible tool for automated model performance metrics, comparing e.g. different models or model versions against control simulations or observational datasets
Some of the features pyCMBS provides for model benchmarking are
- automated and efficient pre-processing and regridding of model data and observations in a standardized way
- standard, modular and flexible libraries for plots and diagnostics
- automatic report generation with different levels of detail
- comparison against up to four different observational datasets at the same time
- user friendly configuration of plots and processing
- state-of-the-art model skill scores