Introduction

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 to use?

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