Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Romain_Maggiolo_063009_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | April 28 2001 |
Start Time | | 2001/04/28 16:00 |
End Time | | 2001/04/28 20:00 |
Key Words | | aurora plasma interface |
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 | | 26.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.50 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 190.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Romain_Maggiolo_063009_2 |
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 GOES-9 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. |