Dependencies in Dataset #9182
Entries (observed variables)
| No. | Name |
|---|---|
| A | virtual entry: nz given by 60 constant values |
| B | virtual entry: nt given by 11406 constant values |
| 01 | Time (s) |
| 02 | IGI_ALT (m) |
| 03 | IGI_LAT [degree] |
| 04 | IGI_LON [degree] |
| 05 | terrain_height (m) |
| 06 | model_level_height (m) |
| 07 | air_density [unspecified unit] |
| 08 | ozone_mass_mixing_ratio (kg/kg) |
| 09 | GEMS_ozone (kg/kg) |
| 10 | nitrogen_dioxide (kg/kg) |
| 11 | nitrogen_monoxide (kg/kg) |
| 12 | methane_chemistry (kg/kg) |
| 13 | specific_cloud_liquid_water_content (kg/kg) |
| 14 | specific_cloud_ice_water_content (kg/kg) |
| 15 | pressure (Pa) |
| 16 | temperature (K) |
| 17 | potential_temperature (K) |
| 18 | specific_humidity [unspecified unit] |
Dependencies of the observed 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.
Warning: It works only with JavaScript enabled in your browser.
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.