Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Andrey_Samsonov_051118_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 10, 2002 |
Start Time | | 2002/09/10 12:00 |
End Time | | 2002/09/10 15:00 |
Key Words | | Cusp |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 9.72 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.83 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 223.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Andrey_Samsonov_051118_1 |
Minimum Dst Value | | -62 |
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.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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