Dependencies in Dataset #7016
Entries (modelled variables)
No. | Name |
---|---|
A | virtual entry: time [unspecified unit] given by 1260 constant values |
01 | Latitude (degree_N) |
02 | Longitude (degree_E) |
03 | Latitude transformed to 02.09.2019 12:00:00 (ECMWF Analysis) (degree_N) |
04 | Longitude transformed to 02.09.2019 12:00:00 (ECMWF Analysis) (degree_E) |
05 | Potential temperature transformed to 02.09.2019 12:00:00 (ECMWF Analysis) (K) |
06 | Hybrid Potential temperature transformed to 02.09.2019 12:00:00 (ECMWF Analysis) (K) |
07 | Pressure (K) |
08 | Theta (K) |
09 | Hybrid Theta (K) |
10 | Age spectrum: 50% percentile (months) |
11 | Age spectrum: fraction < 6 months [fract.] |
12 | Age spectrum: fraction > 24 months [fract.] |
13 | E90 [fract.] |
14 | E720 [fract.] |
15 | Mean Age (months) |
Dependencies of the modelled variables
The interactive table provides a visualization of the dependencies of this dataset's entries (variables) which will hopefully assist you to understand the datasets structure.
Most datasets are simple, e.g. like 10 entries depending on 1 entry. But there are other datasets which are far more complex; with relationships between various entries and even reversed dependencies.
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Direction of relationships
Entry A | Entry B | |
---|---|---|
(=depends on) |
Explanation
Enable Javascript and you'll see the dependencies of this dataset explained in this box while hovering over the table on the left.