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