Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jiajia_Wei_033123_10 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 04, 2020 |
Start Time | | 2020/01/04 00:00 |
End Time | | 2020/01/05 00:00 |
Key Words | | 0104 |
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 | | -25.94 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.58 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 69.80000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Jiajia_Wei_033123_10 |
Minimum Dst Value | | -25 |
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 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. |