Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWPC_SWMF_030311_1b | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 29 2003 |
Start Time | | 2003/10/29 01:00 |
End Time | | 2003/10/30 06:00 |
Key Words | | tbd |
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 | | -20.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 275.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | SWPC_SWMF_030311_1b |
Minimum Dst Value | | -353 |
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 Polar 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. |