Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit363-02-20021104_105700_20021104_154200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/04 |
Start Time | | 2002/11/04 10:57 |
End Time | | 2002/11/04 15:40 |
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 | | 9.92 |
Dipole Tilt, in Y-Z GSE plane, deg | | 26.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit363-02-20021104_105700_20021104_154200-constBx0 |
Minimum Dst Value | | -68 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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