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Description
I have written a script to check consistency of data request content.
It is in the following branch (no pull request for now at it is writtent on the optimized branch not yet merged): https://github.com/rigoudyg/CMIP7_DReq_Software/tree/gr_check_attributes
It checked that, for all variables derived on the same physical parameters, that some attributes have the same values and are not missing.
The outputs are the following:
check_attributes.json
check_attributes.log
Some attributes can be left aside (frequencies, names, modelling realms) but are present because they give information on the variable which have the issues.
For others, such as description or title, they can give information on inconsistencies (case issues). Maybe, creating template for values which must be consistent but with only a change in frequency or area could be useful).
I have an other related question.
Should variables have a single value for attributes 'cell_measures' and 'structure_title' or could those attributes have several values for a single variable?
Best,
Gaëlle