@jessicaaustin @mwengren @ngalbraith @roy-lowry many thanks for all your 
comments and responses to my questions. This discussion has helped me to 
understand much better the ways in which quality information is gathered and 
used.

Regarding the 'non aggregate' names, I think we are all agreed and no further 
comments have been received. Hence, these names are accepted for publication in 
the standard name table and will be included in the next update, scheduled for 
9th March. (N.B. The three week period that Micah mentioned applies to the 
process for modifying the main CF conventions document. For standard names it 
is our usual practice to accept names once all discussion points have been 
answered and consensus has been reached among those contributing to the 
conversation).

For the aggregate name it seems consensus has been achieved on:
**aggregate_quality flag**
'This flag is an algorithmic combination of the results of all relevant quality 
tests run for the related ancillary parent data variable. The linkage between 
the data variable and this variable is achieved using the ancillary_variables 
attribute. The aggregate quality flag provides a summary of all quality tests 
performed on the data variable (both automated and manual) whether present in 
the dataset as independent ancillary variables to the parent data variable or 
not.'
This name is also accepted for publication in the standard name table and will 
be added in the March update.

All the names, units and definitions are listed in full in the [CEDA standard 
names 
editor](http://cfeditor.ceda.ac.uk/proposals/1?status=active&namefilter=&proposerfilter=Austin&descfilter=&unitfilter=&yearfilter=&commentfilter=&filter+and+display=Filter).

I agree that it is important to know where to 'draw the line' between CF 
metadata and other sources of documentation. I do think it would be useful to 
use a CF attribute to state which quality control procedure has been used and 
hence guide data users to the appropriate documentation. This could perhaps be 
achieved using an existing attribute such as 'comment', which has the advantage 
of not needing to modify the CF conventions. It could also be achieved by 
adding a new attribute such as component_tests suggested by Nan. That 
discussion can certainly be the subject of a separate issue.

Whatever is decided ultimately, we could then update the standard name 
definitions by adding a sentence advising which other attribute(s) to check. 
For example, we currently have a lot of emissions names such as 
tendency_of_atmosphere_mass_content_of_alcohols_due_to_emission_from_solvent_production_and_use
 whose definitions say '"Solvent production and use" is the term used in 
standard names to describe a collection of emission sources. A variable which 
has this value for the standard_name attribute should be accompanied by a 
comment attribute which lists the source categories and provides a reference to 
the categorization scheme, for example, "IPCC (Intergovernmental Panel on 
Climate Change) source categories 2F and 3 as defined in the 2006 IPCC 
guidelines for national greenhouse gas inventories". Perhaps a similar approach 
would work for quality tests?

Best wishes,
Alison

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