Dependencies in Dataset #8061
Entries (observed variables)
No. | Name |
---|---|
A | virtual entry: tid given by 245650 constant values |
01 | milliseconds after midnight (msec) |
02 | WGS84 Datum/Elliptical Height (m) |
03 | IGI actual track angle (deg+) |
04 | true heading (deg+) |
05 | WGS84 Datum/Latitude (deg) |
06 | WGS84 Datum/Longitude (deg) |
07 | IGI body roll rate (deg/s) |
08 | roll angle (deg) |
09 | IGI body pitch rate (deg/s) |
10 | IGI body yaw rate (deg/s) |
11 | pitch angle (deg) |
12 | Radiometer Top Short Wavelengths, Thermopile Signal (on E_R11) (W/m^2) |
13 | Radiometer Top Short Wavelengths, Sensor Reference Temperature (on E_R14) (K) |
14 | Radiometer Top Long Wavelengths, Thermopile Signal (on E_R14) (W/m^2) |
15 | Radiometer Top Long Wavelengths, Sensor Reference Temperature (on E_R21) (K) |
16 | Radiometer Bottom Short Wavelengths, Thermopile Signal (on E_R31) (W/m^2) |
17 | Radiometer Bottom Short Wavelengths, Sensor Reference Temperature (on E_R32) (K) |
18 | Radiometer Bottom Short Wavelengths, Sensor Body Temperature (on E_R33) (K) |
19 | Radiometer Bottom Long Wavelengths, Thermopile Signal (on E_R34) (W/m^2) |
20 | Radiometer Bottom Long Wavelengths, Sensor Reference Temperature (on E_R41) (K) |
21 | Pressure Altitude (m) |
22 | Static Pressure (from NB_PSIA) (hPa) |
23 | Longwave Radiation Flux on downward looking Pyrgeometer (thermal offset corrected) (W/m^2) |
24 | Shortwave Radiation Flux on downward looking Pyranometer (thermal offset corrected) (W/m^2) |
25 | Solar Altitude along flight track (deg) |
26 | Static Air Temperature (from BDY-TTQ, anti-ice-corrected) (K) |
27 | Sun Azimuth along flight track (deg) |
28 | correction factor for direct shortwave radiation for dpitch= -3.4000000 deg, droll= 0.00000000 deg |
29 | Shortwave Radiation Flux on upward looking Pyranometer (thermal offset corrected) (W/m^2) |
30 | Longwave Radiation Flux on upward looking Pyrgeometer (thermal offset corrected) (W/m^2) |
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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