Quality flags
Quality flags (or more broadly: Time series flags) describe the quality and origin of data.
The Flags available in Delft-FEWS are a based on a combination of two components: the origin and the quality of the data.
Origin of the data
- Original
- The data value is the original value. It has not been changed.
- Completed
- The original value was missing and has been replaced by a non-missing value.
- Corrected
- The original value has been replaced with another (non-missing) value.
Quality of the data
- Reliable
- Data is reliable and valid
- Doubtful
- Data validity is uncertain
- Unreliable:
- Data is unreliable and will not be used for calculations like transformations or external models.
- It can still be viewed and will be exported with a regular exportModule, as long as the unreliable flag is shown with it.
This leads to the following quality flags available in Delft-FEWS
Table 1 Enumeration of quality flags
Enumeration | Description |
0 | Original/Reliable |
1 | Corrected/Reliable |
2 | Completed/Reliable |
3 | Original/Doubtful |
4 | Corrected/Doubtful |
5 | Completed/Doubtful |
6 | Original/Unreliable |
7 | Corrected/Unreliable |
8 | Completed/Unreliable |
9 | Missing value in originally observed series. Note this is a special form of both Original/Unreliable and Original/Reliable. |
Notes:
- No difference is made between historic and forecast data. This is not considered a quality flag. The data model of Delft-FEWS is constructed such that this difference is inherent to the time series type definition.