Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_022812_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | November 11, 2003 |
Start Time | | 2003/11/11 22:05 |
End Time | | 2003/11/11 22:40 |
Key Words | | dipole |
Model | | SWMF |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 94.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Emily_Hyatt_022812_3 |
Minimum Dst Value | | 0 |
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 Polar for time period of this run.
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)
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