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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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