Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ankush_Bhaskar_010318_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 06, 2014 |
Start Time | | 2014/12/06 21:00 |
End Time | | 2014/12/06 22:30 |
Key Words | | shock |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -18.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.67 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ankush_Bhaskar_010318_2 |
Minimum Dst Value | | -6 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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