Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Naoko_Takahashi_060818_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 26, 2017 |
Start Time | | 2017/09/26 00:00 |
End Time | | 2017/10/01 00:00 |
Key Words | | ULF waves and radiation belt dynamics |
Model | | SWMF |
Model Version | | v20130129 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -4.49 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.38 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 91.10000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Naoko_Takahashi_060818_2 |
Minimum Dst Value | | -100 |
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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