Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit363-03-20021104_154300_20021104_202800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/04 |
Start Time | | 2002/11/04 15:43 |
End Time | | 2002/11/04 20:26 |
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 | | 6.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.53 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit363-03-20021104_154300_20021104_202800-constBx0 |
Minimum Dst Value | | -61 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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