Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit372-01-20021125_160000_20021125_204500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/25 |
Start Time | | 2002/11/25 16:00 |
End Time | | 2002/11/25 20:43 |
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 | | 14.33 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.88 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit372-01-20021125_160000_20021125_204500-constBx0 |
Minimum Dst Value | | -52 |
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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