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 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. |