Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit361-05-20021031_070200_20021031_114700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/31 |
Start Time | | 2002/10/31 07:02 |
End Time | | 2002/10/31 11:45 |
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 | | 18.98 |
Dipole Tilt, in Y-Z GSE plane, deg | | 29.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 167.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit361-05-20021031_070200_20021031_114700-constBx0 |
Minimum Dst Value | | -50 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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