Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Derek_Andeweg_051508_1b | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 22 2002 |
Start Time | | 2002/03/22 00:00 |
End Time | | 2002/03/27 00:00 |
Key Words | | Pointing Flux |
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 | | 34.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 170.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Derek_Andeweg_051508_1b |
Minimum Dst Value | | -100 |
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 Wind 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. |