Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Andrey_Samsonov_051517_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 10, 2016 |
Start Time | | 2016/12/10 07:00 |
End Time | | 2016/12/10 10:00 |
Key Words | | Magnetosheath |
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 | | -31.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.09 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 70.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Andrey_Samsonov_051517_1 |
Minimum Dst Value | | -20 |
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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