Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: jian_yang_072508_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 29 2004 |
Start Time | | 2004/10/29 09:00 |
End Time | | 2004/10/29 13:00 |
Key Words | | 20041029 |
Model | | BATSRUS with RCM |
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 | | -20.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 127.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | jian_yang_072508_1 |
Minimum Dst Value | | 7 |
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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