Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Stanislav_Sazykin_111315_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 22, 2015 |
Start Time | | 2015/06/22 12:00 |
End Time | | 2015/06/23 12:00 |
Key Words | | MMS |
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 | | 26.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.62 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Stanislav_Sazykin_111315_1 |
Minimum Dst Value | | 8 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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