Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Gabriel_Voitcu_100421_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 16, 2015 |
Start Time | | 2015/10/16 09:45 |
End Time | | 2015/10/16 10:45 |
Key Words | | magnetopause |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -12.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.37 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 0.00000 |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Gabriel_Voitcu_100421_1 |
Minimum Dst Value | | -14 |
SW Source | | OMNI |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 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. |