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