Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Zerefsan_Kaymaz_020606_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 10 2004 |
Start Time | | 2004/11/10 4:00 |
End Time | | 2004/11/10 5:00 |
Key Words | | cusp position for northward IMF |
Model | | OpenGGCM |
Model Version | | 2.1-1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -29.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Zerefsan_Kaymaz_020606_2 |
Minimum Dst Value | | -155 |
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 Cluster-3 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. |