Dependencies in Dataset #10681
Entries (modelled variables)
| No. | Name |
|---|---|
| 01 | UTC seconds after midnight on flight date [s] |
| 02 | Static air pressure [hPa] |
| 03 | Static air temperature [K] |
| 04 | Probe air speed [m/s] |
| 05 | CO2 volume mixing ratio of carbon dioxide in air from Licor-7000 [ppm] |
| 06 | NO volume mixing ratio of nitric oxide in air above background [ppb] |
| 07 | NO saturation flag |
| 08 | H2O background volume mixing ratio from CR2 [ppm] |
| 09 | H2O dew point (frost point below 0 deg C) from CR2 [K] |
| 10 | Relative humidity with respect to ice [%] |
| 11 | H2O in-plume volume mixing ratio above background from WARAN [ppm] |
| 12 | Non-volatile particulate matter ambient number concentration [1/cm3] |
| 13 | Total particle ambient number concentration [1/cm3] |
| 14 | Ice total ambient number concentration above 7.5 um [1/m3] |
| 15 | Ice median volume diameter above 7.5 um [m] |
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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