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