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: |
|
|
|
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 |
|
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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)
| VMR Tools created by Darren De Zeeuw. |