Sign inDependencies in Dataset #4612
Entries (modelled variables)
| No. | Name |
|---|---|
| 01 | Latitude (degree_N) |
| 02 | Longitude (degree_E) |
| 03 | press (K) |
| 04 | Brunt-Vaisala frequency (s**-2) |
| 05 | Geopotential Height (m**2 s**-2) |
| 06 | Pressure_TROP1 (hPa) |
| 07 | Pressure_TROP2 (hPa) |
| 08 | Theta (smoothed)_TROP1 (K) |
| 09 | Theta (smoothed)_TROP2 (K) |
| 10 | Hybrid Potential Temperature (K) |
| 11 | Potential Temperature (K) |
| 12 | PV (10^(-6)*K*m^2/(kg*s)) |
| 13 | Equivalent Latitudes (deg N) |
| 14 | Latitude transformed to 21.12.2015 12:00:00 (ECMWF ERA Interim) (degree_N) |
| 15 | Longitude transformed to 21.12.2015 12:00:00 (ECMWF ERA Interim) (degree_E) |
| 16 | Potential temperature transformed to 21.12.2015 12:00:00 (ECMWF ERA Interim) (K) |
| 17 | Hybrid Potential temperature transformed to 21.12.2015 12:00:00 (ECMWF ERA Interim) (K) |
| 18 | time [unspecified unit] |
| 19 | Potential temperature distance from 2 PVU/380 K surface (K) |
| A | virtual entry: NPARTS given by 3498 constant values |
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
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