Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Motoharu_Nowada_090923_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 10, 1997 |
Start Time | | 1997/01/10 15:00 |
End Time | | 1997/01/10 23:59 |
Key Words | | Transpolar Arc and Auroral Spiral |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -12.52 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.47 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 72.90000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Motoharu_Nowada_090923_3 |
Minimum Dst Value | | -62 |
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-8 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. |