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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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