Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Hermann_Opgenoorth_101703_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 31 2001 |
Start Time | | 2001/03/31 13:15 |
End Time | | 2001/03/31 17:15 |
Key Words | | Storm, doubled dipole strength |
Model | | BATSRUS |
Model Version | | v7.42 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 11.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 246.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Hermann_Opgenoorth_101703_1 |
Minimum Dst Value | | -249 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-3 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. |