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.
Satellite data B plot for THEMIS-C for time period of this run.
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)
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