Dependencies in Dataset #5080
Entries (observed variables)
No. | Name |
---|---|
01 | Internal name for measurement file of interferogram. |
02 | Time UTC (seconds since 2000-1-1 0:0:0) |
03 | Latitude [degree_north] |
04 | Longitude [degree_east] |
05 | Altitude of observer/aircraft (km) |
06 | viewing direction of observer [degree] |
07 | Altitude (km) |
08 | air_temperature [unspecified unit] |
09 | Total estimated error of temperature volume mixing ratio (K) |
10 | Precision of temperature volume mixing ratio (K) |
11 | Accuracy of temperature volume mixing ratio (K) |
12 | Vertical resolution of temperature volume mixing ratio (km) |
13 | Initial guess profiles of temperature volume mixing ratio (K) |
14 | Diagonal element of averaging kernel of temperature volume mixing ratio [1] |
15 | mole_fraction_of_nitric_acid_in_air [unspecified unit] |
16 | Total estimated error of HNO3 volume mixing ratio (ppmv) |
17 | Precision of HNO3 volume mixing ratio (ppmv) |
18 | Accuracy of HNO3 volume mixing ratio (ppmv) |
19 | Vertical resolution of HNO3 volume mixing ratio (km) |
20 | Initial guess profiles of HNO3 volume mixing ratio (ppmv) |
21 | Diagonal element of averaging kernel of HNO3 volume mixing ratio [1] |
22 | mole_fraction_of_ozone_in_air [unspecified unit] |
23 | Total estimated error of O3 volume mixing ratio (ppmv) |
24 | Precision of O3 volume mixing ratio (ppmv) |
25 | Accuracy of O3 volume mixing ratio (ppmv) |
26 | Vertical resolution of O3 volume mixing ratio (km) |
27 | Initial guess profiles of O3 volume mixing ratio (ppmv) |
28 | Diagonal element of averaging kernel of O3 volume mixing ratio [1] |
29 | mole_fraction_of_cfc12_in_air [unspecified unit] |
30 | Total estimated error of CFC-12 volume mixing ratio (ppmv) |
31 | Precision of CFC-12 volume mixing ratio (ppmv) |
32 | Accuracy of CFC-12 volume mixing ratio (ppmv) |
33 | Vertical resolution of CFC-12 volume mixing ratio (km) |
34 | Initial guess profiles of CFC-12 volume mixing ratio (ppmv) |
35 | Diagonal element of averaging kernel of CFC-12 volume mixing ratio [1] |
36 | mole_fraction_of_chlorine_nitrate_in_air [unspecified unit] |
37 | Total estimated error of ClONO2 volume mixing ratio (ppmv) |
38 | Precision of ClONO2 volume mixing ratio (ppmv) |
39 | Accuracy of ClONO2 volume mixing ratio (ppmv) |
40 | Vertical resolution of ClONO2 volume mixing ratio (km) |
41 | Initial guess profiles of ClONO2 volume mixing ratio (ppmv) |
42 | Diagonal element of averaging kernel of ClONO2 volume mixing ratio [1] |
43 | mole_fraction_of_cfc11_in_air [unspecified unit] |
44 | Total estimated error of CFC-11 volume mixing ratio (ppmv) |
45 | Precision of CFC-11 volume mixing ratio (ppmv) |
46 | Accuracy of CFC-11 volume mixing ratio (ppmv) |
47 | Vertical resolution of CFC-11 volume mixing ratio (km) |
48 | Initial guess profiles of CFC-11 volume mixing ratio (ppmv) |
49 | Diagonal element of averaging kernel of CFC-11 volume mixing ratio [1] |
50 | mole_fraction_of_water_vapour_in_air (ppmv) |
51 | Total estimated error of H2O volume mixing ratio (ppmv) |
52 | Precision of H2O volume mixing ratio (ppmv) |
53 | Accuracy of H2O volume mixing ratio (ppmv) |
54 | Vertical resolution of H2O volume mixing ratio (km) |
55 | Initial guess profiles of H2O volume mixing ratio (ppmv) |
56 | Diagonal element of averaging kernel of H2O volume mixing ratio [1] |
57 | air_pressure [unspecified unit] |
58 | ertel_potential_vorticity [unspecified unit] |
59 | Cloud Index (lower values -> more clouds!) interpolated on GLORIA geolocations [1] |
60 | air_potential_temperature [unspecified unit] |
61 | ECMWF equivalent latitude interpolated on GLORIA geolocations (K) |
A | virtual entry: n_cublen given by 15 constant values |
B | virtual entry: n_prof given by 274 constant values |
C | virtual entry: n_height given by 44 constant values |
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 | |
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(=depends on) |
Explanation
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