Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: tao_huang_083014_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 30, 2001 |
Start Time | | 2001/01/30 15:00 |
End Time | | 2001/01/31 08:00 |
Key Words | | 20010130 |
Model | | SWMF |
Model Version | | v20110131 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -8.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.58 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | tao_huang_083014_1 |
Minimum Dst Value | | 8 |
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 GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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