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: |
|
|
|
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 |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |