Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Joe_Borovsky_051809_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 16 2003 |
Start Time | | 2003/10/16 00:00 |
End Time | | 2003/10/16 06:00 |
Key Words | | AmblesideOct16 |
Model | | BATSRUS |
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 | | -13.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.40 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 94.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Joe_Borovsky_051809_1 |
Minimum Dst Value | | -51 |
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.
Model values plot for Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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