Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: CCMC_CCMC_102708_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 14 2006 |
Start Time | | 2006/12/14 11:30 |
End Time | | 2006/12/16 00:00 |
Key Words | | GEM 2008 Metrics Challenge |
Model | | BATSRUS with RCM |
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 | | -21.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 90.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | CCMC_CCMC_102708_2 |
Minimum Dst Value | | -162 |
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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