Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Frantisek_Nemec_012822_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 01, 2000 |
Start Time | | 2000/01/01 00:00 |
End Time | | 2000/01/01 00:05 |
Key Words | | global_8day |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -26.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.33 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.60000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Frantisek_Nemec_012822_3 |
Minimum Dst Value | | -50 |
SW Source | | OMNI |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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