Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jan_Soucek_041511_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | June 2 2007 |
Start Time | | 2007/06/02 14:00 |
End Time | | 2007/06/03 06:00 |
Key Words | | Generic Magnetosphere |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSE |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 30.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 86.00000 |
Conductance Model | | Sig-CTIM |
Corotation | | no |
Run Number | | Jan_Soucek_041511_1 |
Minimum Dst Value | | 2 |
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-10 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. |