Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Kristopher_Kersten_081710_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 4 2003 |
Start Time | | 2003/11/04 00:00 |
End Time | | 2003/11/04 23:59 |
Key Words | | LFM-MIX |
Model | | LFM |
Model Version | | 1.0.4 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
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 | | 30 |
F10.7 | | 166.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Kristopher_Kersten_081710_1 |
Minimum Dst Value | | -69 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-11 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. |