Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Patricia_Reiff_010418_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 21:45 |
End Time | | 2017/07/11 22:45 |
Key Words | | dipolarization |
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 | | 24.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.65 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 94.10000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Patricia_Reiff_010418_1 |
Minimum Dst Value | | -5 |
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 THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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