Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Naoko_Takahashi_051618_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 25, 2017 |
Start Time | | 2017/09/25 12:00 |
End Time | | 2017/09/30 12:00 |
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 | | 2.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.43 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 90.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Naoko_Takahashi_051618_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.
Satellite data B plot for Cluster-1 for time period of this run.
![](data: 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)
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