Dependencies in Dataset #1217
Entries (observed variables)
| No. | Name |
|---|---|
| 01 | Time_np in sec after midnight |
| 02 | CMET_GPS LAT, (degree (+-90)) |
| 03 | CMET_GPS LON, (degree (+-180)) |
| 04 | CMET_Height above sea level, (m) |
| 05 | CMET_Absolute Humidity, (g/m^3) |
| 06 | CMET_Mixing Ratio, (g/kg) |
| 07 | CMET_Static Pressure, (hPa) |
| 08 | CMET_Dynamic Pressure, (hPa) |
| 09 | CMET_Relative Humidity with Respect to Water, (%) |
| 10 | CMET_Dewpoint Temperature, (K) |
| 11 | CMET_Potential Temperature, (K) |
| 12 | CMET_Virtual Potential Temperature, (K) |
| 13 | CMET_Virtual Temperature, (K) |
| 14 | CMET_Wind Vector East Component, (m/s) |
| 15 | CMET_Wind Vector North Component, (m/s) |
| 16 | CMET_Wind Vector Vertical Component, (m/s) |
| 17 | CMET_Horizontal Wind Direction, (degree (0-360)) |
| 18 | O3I_Ozone, (ppb) |
| 19 | CR2_water vapor mixing ratio, (ppmv) |
| 20 | Waran_water vapor mixing ratio, (ppmv) |
| 21 | MAQS_CO mixing ratio, (ppbv) |
| 22 | MAQS_N2O mixing ratio, (ppbv) |
| 23 | WRF_temperature, (K) |
| 24 | WRF_topography height, (m) |
| 25 | WRF_Brunt Vaisala frequency, (s-2) |
| 26 | WRF_v-wind component, (ms-1) |
| 27 | WRF_water vapour mixing ratio, (g kg-1) |
| 28 | WRF_longitude, (deg) |
| 29 | WRF_relative humidity, (%) |
| 30 | WRF_temperature, (K) |
| 31 | WRF_pressure, (Pa) |
| 32 | WRF_latitude, (deg) |
| 33 | WRF_u-wind component, (ms-1) |
| 34 | WRF_geopotential height, (m) |
| 35 | WRF_potential vorticity, (PVU) |
| 36 | WRF_w-wind component, (ms-1) |
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.
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Direction of relationships
| Entry A | Entry B | |
|---|---|---|
| (=depends on) |
Explanation
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