Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jia_Wei_031423_14 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 01, 2020 |
Start Time | | 2020/01/01 18:00 |
End Time | | 2020/01/02 00:00 |
Key Words | | event4 |
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 | | -14.06 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.37 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 69.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Jia_Wei_031423_14 |
Minimum Dst Value | | -3 |
SW Source | | WIND |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-B 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. |