Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_030712_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 19, 2004 |
Start Time | | 2004/06/19 08:58 |
End Time | | 2004/06/19 10:00 |
Key Words | | MagnetoSheath |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -34.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.02 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 116.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emily_Hyatt_030712_1 |
Minimum Dst Value | | 4 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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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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