Dependencies in Dataset #6991
Entries (modelled variables)
| No. | Name |
|---|---|
| A | virtual entry: time [unspecified unit] given by 1111 constant values |
| 01 | Latitude (degree_N) |
| 02 | Longitude (degree_E) |
| 03 | Latitude transformed to 06.09.2019 12:00:00 (ECMWF Analysis) (degree_N) |
| 04 | Longitude transformed to 06.09.2019 12:00:00 (ECMWF Analysis) (degree_E) |
| 05 | Potential temperature transformed to 06.09.2019 12:00:00 (ECMWF Analysis) (K) |
| 06 | Hybrid Potential temperature transformed to 06.09.2019 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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