Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit278-04-20020416_141200_20020416_185600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/16 |
Start Time | | 2002/04/16 14:12 |
End Time | | 2002/04/16 18:54 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -20.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -17.44 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 197.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit278-04-20020416_141200_20020416_185600-constBx0 |
Minimum Dst Value | | -4 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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