Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ankush_Bhaskar_092916_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 26, 2013 |
Start Time | | 2013/01/26 20:00 |
End Time | | 2013/01/26 23:00 |
Key Words | | Storm |
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 | | -12.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.61 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 96.30000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ankush_Bhaskar_092916_2 |
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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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