Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Naomi_Maruyama_011818_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 07, 2017 |
Start Time | | 2017/09/07 00:00 |
End Time | | 2017/09/09 00:00 |
Key Words | | storm |
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 | | 3.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.57 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 130.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Naomi_Maruyama_011818_1 |
Minimum Dst Value | | -142 |
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-B for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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