Instructions for personal diagnostic

Anyone can run a personal diagnostic, no matter where the location of it; there is no need to install esmvaltool in developer mode nor is it to git push or for that matter, do any git operations; the example recipe


shows the use of running a personal diagnostic; the example


and any of its alterations may be used as training wheels for the future ESMValTool diagnostic developer. The purpose of this example is to familiarize the user with the framework of ESMValTool without the constraints of installing and running the tool as developer.


my_little_diagnostic (or whatever the user will call their diagnostic) makes full use of ESMValTool’s preprocessor output (both phyisical files and run variables); this output comes in form of a nested dictionary, or config dictionary, see an example below; it also makes full use of the ability to call any of the preprocessor’s functions, note that relative imports of modules from the esmvaltool package are allowed and work without altering the $PYTHONPATH.

The user may parse this dictionary so that they execute a number of operations on the preprocessed data; for example the my_little_diagnostic.plot_time_series grabs the preprocessed data output, computes global area averages for each model, then plots a time-series for each model. Different manipulation functionalities for grouping, sorting etc of the data in the config dictionary are available, please consult ESMValTool User Manual.

Example of config dictionary

To be added (use python-style code-block).