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: |
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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 |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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