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Dependencies in Dataset #5522

uploaded by Felix Ploeger, FZJ
during WISE mission

Entries (modelled variables)

Information about modelled variables of the current dataset.
No. Name
01 Latitude (DEGREE)
02 Longitude (DEGREE)
03 Hybrid potential temperature (K)
04 E30 tracer with 30 day lifetime (m^3/m^3)
05 E90 tracer with 90 day lifetime (m^3/m^3)
06 E180 tracer with 180 day lifetime (m^3/m^3)
07 E360 tracer with 360 day lifetime (m^3/m^3)
08 E720 tracer with 720 day lifetime (m^3/m^3)
09 E1080 tracer with 1080 day lifetime (m^3/m^3)
10 Modal age from age-spectrum (year)
11 Mass fraction younger than 1 month from age-spectrum (%)
12 Mass fraction younger than 3 months from age-spectrum (%)
13 Mass fraction younger than 6 months from age-spectrum (%)
14 Age Spectrum from CLaMS pulse tracer BIR (NONE)
15 Mean age from age-spectrum (10 yr) (year)
16 Age spectrum width (10 yr) (year)
17 Deacay timescale of age spectrum tail (10 yr) (year)
18 Tail-corrected mean age from age-spectrum (10 yr) (year)
19 Tail-corrected age spectrum width (10 yr) (year)
20 Norm from age-spectrum (10 yr) (XX)
21 Tail-corrected norm from age-spectrum (10 yr) (XX)
22 Mass fraction older than 24 months from age-spectrum (10 yr) (%)
23 Mass fraction older than 48 months from age-spectrum (10 yr) (%)
24 Static Pressure (from NB_PSIA) (hPa)
25 Potential Temperature (K)
A virtual entry: taxis_age given by 49 constant values
B virtual entry: time [unspecified unit] given by 32103 constant values

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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