Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: ULFEVENT_SWMF_011422_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | May 27, 2017 |
Start Time | | 2017/05/27 00:00 |
End Time | | 2017/05/30 00:00 |
Key Words | | ULF |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 19.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.59 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 84.10000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | ULFEVENT_SWMF_011422_3 |
Minimum Dst Value | | -122 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 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. |