Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Robert_Strangeway_061110_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | February 23 2008 |
Start Time | | 2008/02/23 00:00 |
End Time | | 2008/02/23 06:00 |
Key Words | | FAST double oval |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSE |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -22.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 70.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Robert_Strangeway_061110_1 |
Minimum Dst Value | | -16 |
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.
Model values plot for IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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