Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_021312_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 06, 2002 |
Start Time | | 2002/06/06 13:20 |
End Time | | 2002/06/06 13:50 |
Key Words | | MagnetoSheath |
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 | | 159.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Emily_Hyatt_021312_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 Geotail for time period of this run.
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)
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