An aggregation of Geometry Hierarchies that are differentiated by the Geometry Time Constraints Data link objects attached to the aggregation relationships used to reach the Geometry Hierarchy objects.
The Classification Data define what each Time Related Geometry corresponds to. The outer Time Related Geometry corresponds to base forecast times, while the inner Time Related Geometry corresponds to forecast taus.
In the forecast world, models are run starting at some base starting time, e.g., at 0Z and 12Z. The model then produces forecasts at several deltas after the base starting time, e.g. at 6, 12 ,18, and 24 hours. These are known as forecast taus.
Consequently, if you run forecast models at 0Z and 12Z, and each produces a 24 hour forecast, you get the following overlap.
16 Nov 17 Nov 18 Nov
0Z +6 +12 +18 +24
12Z +6 +12 +18 +24
0Z +6 +12 +18 +24
etc.
So to uniquely identify a forecast, you must specify the base forecast time and the delta (tau). This is why nested Time Related Geometry has been used in this example; one Time Related Geometry defines the base forecast time, while its component Time Related Geometry defines the forecast tau.
Note that this approach is needed only if multiple forecasts with overlapping forecasts are included in the transmittal. If we just use the analysis (0Z) and +6 forecasts from each forecast, then we would have
16 Nov 17 Nov 0Z +6 12Z +6 0Z +6 12Z +6 etc
| SE_BOOLEAN | unique_descendants; | (notes) |
|---|---|---|
| SE_BOOLEAN | independent_topologies; | (notes) |
| SE_BOOLEAN | strict_organizing_principle; | (notes) |
| SE_TIME_DATA_TYPE_ENUM | time_data_type; |
|---|
If SE_TRUE, then for any object that exists 'below' this aggregation, each object will appear in only one 'branch' of this aggregation. If SE_FALSE, then objects may appear in multiple 'branches' of this aggregation.
If SE_TRUE, then each 'branch' from this aggregation is its own, independent topology. If SE_FALSE, then all of the branches exist within the same topology.
If true, then each 'branch' strictly follows the rules of this aggregation. If false, then each 'branch' might bend the rules a bit. For example, if this is a spatial aggregation, than a value of true indicates that objects will *not* cross the spatial extents defined by this aggregation relationship, and a value of false indicates that objects might cross those bounds. For another example, if this is a time-based aggregation, then a value of true indicates that all branches will only contain data valid for the times specified for each branch, and a value of false indicates that the branches have the option of including data that falls outside of the specified time ranges for that branch.