Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_022812_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 21, 2004 |
Start Time | | 2004/06/21 03:40 |
End Time | | 2004/06/21 04:00 |
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 | | 120.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Emily_Hyatt_022812_4 |
Minimum Dst Value | | 16 |
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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