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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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