CWMS offers another way to focus in on problem data by filtering missing data segments for individual time series datasets.
Select a time series dataset from the table on the Data Status Summary dialog. From the View menu, select Missing Segments. The Missing Data Segments dialog will open.
Another way to access the Missing Data Segments dialog is to select a time series dataset from the table on the Data Status Summary dialog. Right-click on the selected time series dataset and from the shortcut menu, select Missing Segments. The Missing Data Segments dialog will open.
For the selected time series datasets, the Missing Data Segments dialog reports internal missing gaps in each time series of data. The missing gaps are periods in the time series datasets where data values were expected but are not present. For time series datasets that are defined to have a regular interval (e.g., 1Hour) data values are expected at each interval. For time series datasets with an undefined or irregular interval (i.e., the time series interval is set to zero) you will need to define the interval. From the Data Status Summary dialog, you will enter a value (in hours) in the Consider missing when no report after box.
Missing data in critical time series datasets has an impact on CWMS decision support activities. After analyzing the information displayed on the Missing Data Segments dialog, you may decide to open the Data Validation Editor to appropriately edit the missing data values.