Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: YONGFU_WANG_082708_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | November 7 2004 |
Start Time | | 2004/11/07 17:00 |
End Time | | 2004/11/07 19:00 |
Key Words | | ULF wave |
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 | | -5.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.30 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 127.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | YONGFU_WANG_082708_1 |
Minimum Dst Value | | -15 |
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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