Sign inDependencies in Dataset #11286
Entries (modelled variables)
| No. | Name |
|---|---|
| A | virtual entry: Time of acquisition in UTC secs after midnight given by 12776 constant values |
| B | virtual entry: string15 given by 15 constant values |
| 01 | Datetime ((YYYYMMDD.HHMMSS)) |
| 02 | Static air temperature. From the SAFIRE dataset. (deg C) |
| 03 | True Airspeed. From the SAFIRE dataset. (m/s) |
| 04 | Altitude. From the SAFIRE dataset. (m) |
| 05 | Pressure |
| 06 | Latitude. From the SAFIRE dataset. [degree] |
| 07 | Longitude. From the SAFIRE dataset. [degree] |
| 08 | Number concentration of all particles at 1 Hz (#/m^3) |
| 09 | Number concentration of SLD at 1 Hz (#/m^3) |
| 10 | Number concentration of large aspherical ice particles at 1 Hz (#/m^3) |
| 11 | Number concentration of liquid particles at 1 Hz (#/m^3) |
| 12 | Number concentration of ice particles at 1 Hz (#/m^3) |
| 13 | Median volume diameter of liquid particles at 1 Hz (m) |
| 14 | Median volume diameter from the CDP data only at 1 Hz (m) |
| 15 | Median volume diameter of SLD at 1 Hz (m) |
| 16 | Ice effective diameter at 1 Hz (m) |
| 17 | Diameter of the 99th volume percentile at 1 Hz (m) |
| 18 | Diameter of the 90th volume percentile at 1 Hz (m) |
| 19 | Diameter of the 99th volume percentile from the CDP data only at 1 Hz (m) |
| 20 | Diameter of the 90th volume percentile from the CDP data only at 1 Hz (m) |
| 21 | MVD if LAS N is smaller than 1000 m-3 else CDP MVD at 1 Hz (m) |
| 22 | VD99 if LAS N is smaller than 1000 m-3 else CDP VD99 at 1 Hz (m) |
| 23 | VD90 if LAS N is smaller than 1000 m-3 else CDP VD90 at 1 Hz (m) |
| 24 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 25 | IWC of non-liquid particles at 1 Hz (kg/m^3) |
| 26 | LWC of SLD at 1 Hz (kg/m^3) |
| 27 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 28 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 29 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 30 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 31 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 32 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 33 | LWC of liquid particles at 1 Hz (kg/m^3) |
| 34 | Hotwire LWC from the LWC300 at 1 Hz (kg/m^3) |
| 35 | Hotwire TWC from the Robust probe at 1 Hz (kg/m^3) |
| 36 | Hotwire IWC at 1 Hz (kg/m^3) |
| 37 | Hotwire LWC from the Nevzorov probe at 1 Hz (#/m^3) |
| 38 | Hotwire TWC from the Nevzorov probe 8 mm cone at 1 Hz (#/m^3) |
| 39 | Hotwire TWC from the Nevzorov probe 12 mm cone at 1 Hz (#/m^3) |
| 40 | TWC from the Robust probe at 1 Hz (kg/m^3) |
| 41 | Number concentration of all particles from a 15s rolling mean (#/m^3) |
| 42 | Number concentration of SLD from a 15s rolling mean (#/m^3) |
| 43 | Number concentration of aspherical particles with occulted area above 0.0225 mm^2 from a 15s rolling mean (#/m^3) |
| 44 | Number concentration of liquid particles from a 15s rolling mean (#/m^3) |
| 45 | Number concentration of ice particles from a 15s rolling mean (#/m^3) |
| 46 | Median volume diameter from a 15s rolling mean (m) |
| 47 | Median volume diameter from the CDP data only from a 15s rolling mean (m) |
| 48 | Median volume diameter of liquid particles larger 100 um from a 15s rolling mean (m) |
| 49 | Ice effective diameter from a 15s rolling mean (m) |
| 50 | Volume diameter of 99 percentile from a 15s rolling mean (m) |
| 51 | Volume diameter of 90 percentile from a 15s rolling mean (m) |
| 52 | Diameter of the 99th volume percentile from the CDP data only from a 15s rolling mean (m) |
| 53 | Diameter of the 90th volume percentile from the CDP data only from a 15s rolling mean (m) |
| 54 | MVD if LAS N is smaller than 1000 m-3 else CDP MVD from a 15s rolling mean (m) |
| 55 | VD99 if LAS N is smaller than 1000 m-3 else CDP VD99 from a 15s rolling mean (m) |
| 56 | VD90 if LAS N is smaller than 1000 m-3 else CDP VD90 from a 15s rolling mean (m) |
| 57 | Liquid water content of liquid particles from a 15s rolling mean (kg/m^3) |
| 58 | Ice water content of non-liquid particles from a 15s rolling mean (kg/m^3) |
| 59 | Liquid water content of liquid particles larger than 100 um from a 15s rolling mean (kg/m^3) |
| 60 | LWC of particles between 2 and 15 um at from a 15s rolling mean (kg/m^3) |
| 61 | LWC of particles between 15 and 30 um at from a 15s rolling mean (kg/m^3) |
| 62 | LWC of particles between 30 and 45 um at from a 15s rolling mean (kg/m^3) |
| 63 | LWC of particles between 45 and 60 um at from a 15s rolling mean (kg/m^3) |
| 64 | LWC of particles between 60 and 75 um at from a 15s rolling mean (kg/m^3) |
| 65 | LWC of particles between 75 and 100 um at from a 15s rolling mean (kg/m^3) |
| 66 | LWC of particles larger 100 um at from a 15s rolling mean (kg/m^3) |
| 67 | Nevzorov liquid water content from a 15s rolling mean (kg/m^3) |
| 68 | Hotwire total water content from the Robust probe from a 15s rolling mean (kg/m^3) |
| 69 | Hotwire ice water content from a 15s rolling mean (kg/m^3) |
| 70 | Nevzorov liquid water content of liquid particles from a 15s rolling mean (kg/m^3) |
| 71 | Nevzorov TWC from the 8 mm cone from a 15s rolling mean (kg/m^3) |
| 72 | Nevzorov TWC from the 12 mm cone from a 15s rolling mean (kg/m^3) |
| 73 | TWC from the Robust probe from a 15s rolling mean (kg/m^3) |
| 74 | Absolute humidity calculated with WVSS2 volumetric concentration SAT and pressure. From the SAFIRE dataset. (kg/m^3) |
| 75 | Upward wind component calculated with Inertial/GPS Sytem Radome angles and Pitot/Static data. From the SAFIRE dataset. (m/s) |
| 76 | Eastward wind component calculated with Inertial/GPS Sytem Radome angles and Pitot/Static data. From the SAFIRE dataset. (m/s) |
| 77 | Northward wind component calculated with Inertial/GPS Sytem Radome angles and Pitot/Static data. From the SAFIRE dataset. (m/s) |
| 78 | 1 if Hotwire LWC > 0.025 g m-3 and SAT < deg C. The Nevzorov LWC values are not averaged over 15s in order to give an instantaneous detection (int) |
| 79 | 1 when Appendix O conditions are encountered else 0. (int) |
| 80 | 1 during ice encounters else 0. (int) |
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.
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Direction of relationships
| Entry A | Entry B | |
|---|---|---|
| (=depends on) |
Explanation
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