Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Thomas_Moore_012312_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 13, 2002 |
Start Time | | 2002/06/13 14:45 |
End Time | | 2002/06/13 15:45 |
Key Words | | KHI Dawn OPS |
Model | | SWMF |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 138.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Thomas_Moore_012312_1 |
Minimum Dst Value | | -1 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Diagnostic indices for this run.
Choose variable to plot:
![](data: 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)
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