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: |
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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 |
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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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)
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