Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: yabing_wang_030218_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 28, 2013 |
Start Time | | 2013/09/28 00:00 |
End Time | | 2013/09/28 00:10 |
Key Words | | rotation |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -5.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.14 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 106.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | yabing_wang_030218_1 |
Minimum Dst Value | | 12 |
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 THEMIS-A for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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