Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Xiangyun_Zhang_041411_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | July 15 2007 |
Start Time | | 2007/07/15 00:00 |
End Time | | 2007/07/15 04:00 |
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 | | 18.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 77.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Xiangyun_Zhang_041411_3 |
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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