Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit362-10-20021103_155900_20021103_204400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/03 |
Start Time | | 2002/11/03 15:59 |
End Time | | 2002/11/03 20:42 |
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 | | 6.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.36 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit362-10-20021103_155900_20021103_204400-constBx0 |
Minimum Dst Value | | -70 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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