Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Zhonghua_Yao_012412_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 15, 2009 |
Start Time | | 2009/02/15 02:00 |
End Time | | 2009/02/15 05:00 |
Key Words | | flow diversion |
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 | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 68.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Zhonghua_Yao_012412_1 |
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 THEMIS-D 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. |