Dependencies in Dataset #7008
Entries (modelled variables)
No. | Name |
---|---|
A | virtual entry: time [unspecified unit] given by 3395 constant values |
01 | Latitude (degree_N) |
02 | Longitude (degree_E) |
03 | Latitude transformed to 04.11.2019 12:00:00 (ECMWF Analysis) (degree_N) |
04 | Longitude transformed to 04.11.2019 12:00:00 (ECMWF Analysis) (degree_E) |
05 | Potential temperature transformed to 04.11.2019 12:00:00 (ECMWF Analysis) (K) |
06 | Hybrid Potential temperature transformed to 04.11.2019 12:00:00 (ECMWF Analysis) (K) |
07 | Pressure (K) |
08 | Theta (K) |
09 | Hybrid Theta (K) |
10 | P0 [fract.] |
11 | P1 [fract.] |
12 | P2 [fract.] |
13 | P3 [fract.] |
14 | P4 [fract.] |
15 | P5 [fract.] |
16 | P6 [fract.] |
17 | P7 [fract.] |
18 | P8 [fract.] |
19 | Tibetan Plateau [fract.] |
20 | Northern Africa [fract.] |
21 | Indian Subcontinent [fract.] |
22 | Northern India/Pakistan/Himalayan foothills [fract.] |
23 | Indian Ocean [fract.] |
24 | Southeast Asia (including warm pool) [fract.] |
25 | Near East [fract.] |
26 | Eastern China [fract.] |
27 | Bay of Bengal [fract.] |
28 | Central America [fract.] |
29 | Tropical Western Pacific [fract.] |
30 | Northern Mid-latitudes [fract.] |
31 | North Polar Region [fract.] |
32 | Tropical Eastern Pacific [fract.] |
33 | South Polar Region [fract.] |
34 | Tropical Atlantic Ocean [fract.] |
35 | Australia [fract.] |
36 | New Zeeland [fract.] |
37 | marine Australia + marine New Zeeland [fract.] |
38 | Southern Africa [fract.] |
39 | Amazonia [fract.] |
40 | Southern America [fract.] |
41 | Southern Indian Ocean [fract.] |
42 | Southern Atlantic Ocean [fract.] |
43 | Southern Eastern Pacific [fract.] |
44 | total Earth's surface [fract.] |
45 | Asia tracer [fract.] |
46 | Vortex tracer [fract.] |
47 | Vortex core tracer [fract.] |
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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