Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Kyungguk_Min_090509_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 23 2007 |
Start Time | | 2007/03/23 09:00 |
End Time | | 2007/03/23 12:00 |
Key Words | | Substorm Event |
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 | | -4.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.60 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 72.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Kyungguk_Min_090509_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 IMP-8 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. |