Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yihua_Zheng_040122_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 16, 2015 |
Start Time | | 2015/10/16 11:30 |
End Time | | 2015/10/16 17:00 |
Key Words | | Python project |
Model | | OpenGGCM |
Model Version | | 5.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -7.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 0 |
F10.7 | | 108.40000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Yihua_Zheng_040122_1 |
Minimum Dst Value | | -10 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-B for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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