Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Xiangning_Chu_080615_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 03, 2008 |
Start Time | | 2008/03/03 02:00 |
End Time | | 2008/03/03 04:00 |
Key Words | | Substorm |
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 | | -15.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | 29.83 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 67.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Xiangning_Chu_080615_1 |
Minimum Dst Value | | -30 |
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-A 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. |