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Quality flags provide the user with information on the quality and errors of observations. The aim is the assessment of the observation's suitability for analyses and research tasks. In accordance with existing standards (e.g. UNESCO 2013), we first consider a primary and a secondary level. The primary level defines the quality flag, where the increasing flag value indicates a quality decrease in the observation. The secondary level provides the information that supports the primary level. Current work extends that implementation to provide a direct link between these levels.

FlagMeaning
0No quality control
1Good data
2Probably good
3Probably bad
4Bad
5Missing value
6Primal Error
7Not used

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