Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: xiangyun_zhang_071811_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 2 2007 |
Start Time | | 2007/06/02 18:00 |
End Time | | 2007/06/02 20:05 |
Key Words | | IMF variation |
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 | | 33.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 86.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | xiangyun_zhang_071811_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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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