Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: yanan_liu_120222_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 24, 2003 |
Start Time | | 2003/10/24 17:00 |
End Time | | 2003/10/24 19:00 |
Key Words | | test |
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 | | -1.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | -19.13 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | yanan_liu_120222_3 |
Minimum Dst Value | | -26 |
SW Source | | OMNI |
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 Geotail for time period of this run.
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)
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