Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Masha_Kuznetsova_121607_3b | |
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 | | THEMIS Substorm test; ~ 9 mln cells |
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_3b |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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