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-3 for time period of this run.
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)
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