Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Janelle_Holmes_021618_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | September 01, 2017 |
Start Time | | 2017/09/01 00:00 |
End Time | | 2017/10/01 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 | | 5.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.84 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 95.10000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Janelle_Holmes_021618_1 |
Minimum Dst Value | | -142 |
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 THEMIS-C 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. |