Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_021712_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 | | MSheath |
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_021712_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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