Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Chigomezyo_Ngwira_022018_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 20, 2015 |
Start Time | | 2015/06/20 00:00 |
End Time | | 2015/06/25 00:00 |
Key Words | | Reduced dipole |
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 | | 20.62 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.56 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 0.00000 |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Chigomezyo_Ngwira_022018_1 |
Minimum Dst Value | | -195 |
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.
Satellite data B plot for Cluster-1 for time period of this run.
![](data: 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)
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