Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Zerefsan_Kaymaz_020706_1 | |
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, HighRes |
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_020706_1 |
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.
Satellite data B plot for Wind for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |