Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: tao_huang_083014_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 30, 2001 |
Start Time | | 2001/01/30 15:00 |
End Time | | 2001/01/31 08:00 |
Key Words | | 20010130 |
Model | | SWMF |
Model Version | | v20110131 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -8.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.58 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | tao_huang_083014_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 Cluster-1 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. |