Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emine_Kalafatoglu_101711_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 31 2007 |
Start Time | | 2007/12/31 19:00 |
End Time | | 2007/12/31 21:29 |
Key Words | | substorm |
Model | | GUMICS |
Model Version | | 4-HC-1.11 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 74.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emine_Kalafatoglu_101711_1 |
Minimum Dst Value | | -6 |
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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