Quality flags are constructed on a philosophy of two qualifiers. The first described the origin of the data and the second the quality.
Possible origins of data are:
1. Original: This entails the data value is the original value. It has not been amended by Delft-FEWS
2. Completed: This entails the original value was missing and was replaced by a non-missing value.
3. Corrected: This entails the original value was replaced with another non-missing value.
Possible qualifiers are:
4. Reliable: Data is reliable and valid
5. Doubtful: The validity of the data value is uncertain
6. Unreliable: The data value is unreliable and cannot be used.
Following this specification, the table below gives an overview of quality flag enumerations
Table D.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 |
Missing/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. |
- No difference is made between historic and forecast data. This is not considered a quality flag. The data model of NFFS is constructed such that this difference is inherent to the data type definition.
- External sources may either be an actual external source, a forecasting module or a transformation. The convention in NFFS the definition of data series parameter types identifies the data source.