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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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