Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Vitor_Souza_112613_1b | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | July 07, 2009 |
Start Time | | 2009/07/07 14:00 |
End Time | | 2009/07/07 15:00 |
Key Words | | Magnetopause, Magnetic Reconnection |
Model | | SWMF |
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 | | 30.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.54 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 0 |
F10.7 | | 74.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Vitor_Souza_112613_1b |
Minimum Dst Value | | 10 |
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 THEMIS-C 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. |