Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Antoun_Daou_120516_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 23, 2016 |
Start Time | | 2016/11/23 00:00 |
End Time | | 2016/11/24 00:00 |
Key Words | | MMS |
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 | | -23.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.04 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 75.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Antoun_Daou_120516_1 |
Minimum Dst Value | | -107 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
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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)
| VMR Tools created by Darren De Zeeuw. |