Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: yuhui_fu_122122_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 04, 2016 |
Start Time | | 2016/08/04 00:00 |
End Time | | 2016/08/04 02:00 |
Key Words | | 20160804 |
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 | | 14.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.66 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 78.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | yuhui_fu_122122_4 |
Minimum Dst Value | | -32 |
SW Source | | DSCOVR-realtime |
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 Wind for time period of this run.
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)
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