Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yide_Jing_022122_1 | |
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, 2000 |
Start Time | | 2000/01/01 00:00 |
End Time | | 2000/01/01 02:00 |
Key Words | | electron density |
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 | | -26.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.33 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.60000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Yide_Jing_022122_1 |
Minimum Dst Value | | -50 |
SW Source | | ACE-L2 |
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 GOES-10 for time period of this run.
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