Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Xiangyun_Zhang_041411_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 4 2007 |
Start Time | | 2007/04/04 10:00 |
End Time | | 2007/04/04 16:00 |
Key Words | | flux ropes |
Model | | BATSRUS with RCM |
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 | | 3.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.90 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 71.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Xiangyun_Zhang_041411_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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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