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-A for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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