Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Janelle_Holmes_010818_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 25, 2016 |
Start Time | | 2016/10/25 00:00 |
End Time | | 2016/11/01 00:00 |
Key Words | | general run |
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 | | -15.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.91 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 76.90000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Janelle_Holmes_010818_3 |
Minimum Dst Value | | -69 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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