Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yihua_Zheng_031022_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 | | 33 |
F10.7 | | 108.40000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Yihua_Zheng_031022_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 GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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