Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: yanan_liu_030823_5 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 13, 2015 |
Start Time | | 2015/03/13 18:00 |
End Time | | 2015/03/17 18:00 |
Key Words | | 2015 |
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 | | 7.21 |
Dipole Tilt, in Y-Z GSE plane, deg | | 25.79 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 117.90000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | yanan_liu_030823_5 |
Minimum Dst Value | | -162 |
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 GOES-12 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. |