Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Masha_Kuznetsova_121607_3c | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 23 2007 |
Start Time | | 2007/03/23 07:00 |
End Time | | 2007/03/23 14:00 |
Key Words | | Substorm Test |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 1.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.40 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 72.00000 |
Conductance Model | | Sig-CTIM |
Corotation | | no |
Run Number | | Masha_Kuznetsova_121607_3c |
Minimum Dst Value | | -10 |
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. |