QA-DKRZ - Quality Assurance Tool for Climate Data

Version:0.5.x

The Quality Assurance tool QA-DKRZ developed at DKRZ checks conformance of meta-data of climate simulations given in NetCDF format with conventions and rules of projects. At present, checking of CF Conventions, CORDEX, CMIP5, and CMIP6, the latter with the option to run PrePARE.py (D. Nadeau, LLNL, https://cmor.llnl.gov) is supported. The check results are summarised in json-formatted files.

Note

The QA tool is still in a testing stage.

Getting Started

The recommendated way to install QA-DKRZ is to use the conda package manager.

$ conda create -n qa-dkrz -c conda-forge -c h-dh qa-dkrz

If a machine is not suited for Linux-64Bits or you would like to work with the sources, then see Installation for details.

The success of the installation may be checked either by running

$ qa-dkrz --example

(creating a directory example in the current path. More details in Results) or by operating the stand-alone-checker with a NetCDF file of your choice.

$ dkrz-cf-checker your-choice.nc

Documentation

QA-DKRZ is using Sphinx, and the latest documentation can be found on ReadTheDocs.

Getting Help

Please, direct questions or comments to hollweg@dkrz.de

Mailing list

Join the mailing list ...

Bug tracker

If you have any suggestions, bug reports or annoyances please report them to our issue tracker at https://github.com/IS-ENES-Data/QA-DKRZ/issues

Contributing

The sources of QA-DKRZ are available on Github: https://github.com/IS-ENES-Data/QA-DKRZ

You are highly encouraged to participate in the development.

License

Please notice the Disclaimer of Warranty (DoW.txt) file in the top distribution directory.