Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Muzhou_Lu_121417_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 11, 2015 |
Start Time | | 2015/06/11 00:00 |
End Time | | 2015/06/13 02:00 |
Key Words | | Just a test |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 20.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 144.20000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Muzhou_Lu_121417_1 |
Minimum Dst Value | | -23 |
SW Source | | DSCOVR-realtime |
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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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