Dependencies in Dataset #4616
Entries (modelled variables)
No. | Name |
---|---|
A | virtual entry: time [unspecified unit] given by 2429 constant values |
01 | Latitude (degree_N) |
02 | Longitude (degree_E) |
03 | press (hPa) |
04 | Brunt-Vaisala frequency (s**-2) |
05 | Geopotential Height (m**2 s**-2) |
06 | Pressure of tropopause (hPa) |
07 | Hybrid Theta at tropopause (K) |
08 | Theta at tropopause (K) |
09 | Temperature of tropopause (K) |
10 | Pressure of second tropopause (hPa) |
11 | Hybrid Theta at second tropopause (K) |
12 | Theta at second tropopause (K) |
13 | Hybrid Potential Temperature (K) |
14 | Potential Temperature (K) |
15 | PV (10^(-6)*K*m^2/(kg*s)) |
16 | Equivalent Latitudes (deg N) |
17 | Latitude transformed to 25.01.2016 12:00:00 (ERA5 1x1deg) (degree_N) |
18 | Longitude transformed to 25.01.2016 12:00:00 (ERA5 1x1deg) (degree_E) |
19 | Potential temperature transformed to 25.01.2016 12:00:00 (ERA5 1x1deg) (K) |
20 | Hybrid Potential temperature transformed to 25.01.2016 12:00:00 (ERA5 1x1deg) (K) |
21 | Potential temperature distance from 2 PVU/380 K surface (K) |
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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