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