Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Patricia_Reiff_101817_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | July 11, 2017 |
Start Time | | 2017/07/11 22:45 |
End Time | | 2017/07/11 23:45 |
Key Words | | tail |
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 | | 22.17 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.95 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 81.30000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Patricia_Reiff_101817_1 |
Minimum Dst Value | | -3 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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