Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ankush_Bhaskar_022715_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 24, 2013 |
Start Time | | 2013/12/24 00:00 |
End Time | | 2013/12/25 23:59 |
Key Words | | strom |
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 | | -26.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.35 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 124.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ankush_Bhaskar_022715_3 |
Minimum Dst Value | | 8 |
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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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