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