Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Claire_Foullon_112207_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 27 2005 |
Start Time | | 2005/06/27 16:00 |
End Time | | 2005/06/28 00:00 |
Key Words | | Pressure Pulse |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 34.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.40 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 80.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Claire_Foullon_112207_2 |
Minimum Dst Value | | -2 |
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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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