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Dependencies in Dataset #9662

uploaded by Raphael Märkl, DLR
during ECLIF3 mission

Entries (modelled variables)

Information about modelled variables of the current dataset.
No. Name
01 Begin of measured plume sequence (seconds after UTC midnight on flight date)
02 End End of measured plume sequence (s)
03 Begin_emitted Being of emitted plume sequence (s)
04 End_emitted End of emitted plume sequence (s)
05 Plume_Age_Begin Plume age at begin of measurement sequence (s)
06 Plume_Age_End Plume age at end of measurement sequence (s)
07 Mean_Plume_Age Mean plume age during measurement sequence (s)
08 Mean_Aircraft_Distance Mean aircraft distance during measurement sequence (m)
09 Mean_Aircraft_Distance_emitted Mean aircraft distance during emitted plume sequence (m)
10 Aircraft
11 Fuel Jet A-1 or HEFA fuel
12 CMET_PS_average Mean ambient pressure during measured plume sequence at Falcon (hPa)
13 CMET_TS_average Mean ambient temperature during measured plume sequence at Falcon (K)
14 CMET_ALT_average Mean Falcon GPS altitude during measured plume sequence (m)
15 CMET_TAS_average Mean Falcon true air speed during measured plume sequence (m s^-1)
16 H2O_RHi_average Mean ambient relative humidity over ice during measured plume sequence (%)
17 H2O_mr_average Mean ambient water vapor mixing ratio during measured plume sequence (%)
18 Delta_T_SA Mean temperature difference to Schmidt-Appleman threshold (K)
19 Delta_z Mean WGS84 GPS altitude difference between Falcon at time of detection and emission aircraft at time of emission (m)
20 CAS_integration Time integrated area over CAS number concentration during plume sequence (cm^-3 s)
21 CAS_IWC_average CAS mean ice water content during measured plume sequence (kg m^-3)
22 CAS_IWC_10_average CAS mean ice water content under 10 um during measured plume sequence (kg m^-3)
23 CAS_MVD_average CAS mean ice median volume diameter during measured plume sequence (m)
24 CAS_MVD_10_average CAS mean ice median volume under 10 um diameter during measured plume sequence (m)
25 CAS_ED_average CAS mean ice effective diameter during measured plume sequence (m)
26 CAS_ED_10_average CAS mean ice effective diameter under 10 um during measured plume sequence (m)
27 CAPS_integration Time integrated area over CAPS number concentration during plume sequence (cm^-3 s)
28 CAPS_IWC_average CAPS mean ice water content during measured plume sequence (kg m^-3)
29 CAPS_IWC_10_average CAPS mean ice water content under 10 um during measured plume sequence (kg m^-3)
30 CAPS_MVD_average CAPS mean ice median volume diameter during measured plume sequence (m)
31 CAPS_MVD_10_average CAS mean ice median volume und 10 um diameter during measured plume sequence (m)
32 CAPS_ED_average CAPS mean ice effective diameter during measured plume sequence (m)
33 CAPS_ED_10_average CAPS mean ice effective diameter under 10 um during measured plume sequence (m)
34 NOy_integration Time integrated area over NOy mixing ratio during plume sequence (ppb s)
35 NOy_background Mean NOy background level during plume sequence (ppm)
36 Correlation_ice_NOy Correlation between CAS and NOy time series during plume sequence
37 AEI_CAS_NOy_tracer CAS Apparent Ice Emission Index with NOy tracer (kg^-1)
38 AEI_CAPS_NOy_tracer CAPS Apparent Ice Emission Index with NOy tracer (kg^-1)
39 AEI_CAS_NOy_tracer_uncertainty Uncertainty of CAS Apparent Ice Emission Index with NOy tracer
40 AEI_CAPS_NOy_tracer_uncertainty Uncertainty of CAPS Apparent Ice Emission Index with NOy tracer
41 AEI_CAS_NOy_tracer_non_systematic_uncertainty Non-systematic uncertainty of CAS Apparent Ice Emission Index with NOy tracer
42 AEI_CAPS_NOy_tracer_non_systematic_uncertainty Non-systematic uncertainty of CAPS Apparent Ice Emission Index with NOy tracer
43 EI_nvPM_NOy_tracer nvPM Emission Index with NOy tracer

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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