Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yihua_zheng_113015_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | May 31, 2013 |
Start Time | | 2013/05/31 00:00 |
End Time | | 2013/06/05 00:00 |
Key Words | | RB dropout event - Childrens day |
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 | | 19.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.36 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 104.70000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Yihua_zheng_113015_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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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