Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Thomas_Moore_012312_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | June 13, 2002 |
Start Time | | 2002/06/13 14:45 |
End Time | | 2002/06/13 15:45 |
Key Words | | KHI Dawn OPS |
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 | | 138.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Thomas_Moore_012312_1 |
Minimum Dst Value | | -1 |
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 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. |