Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ross_Cohen_091516_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 12, 2014 |
Start Time | | 2014/09/12 00:00 |
End Time | | 2014/09/13 00:00 |
Key Words | | Inner Magnetosphere |
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 | | 1.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.85 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 154.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ross_Cohen_091516_1 |
Minimum Dst Value | | -81 |
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 THEMIS-B for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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