Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Naoko_Takahashi_080217_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 04, 2017 |
Start Time | | 2017/04/04 00:00 |
End Time | | 2017/04/06 00:00 |
Key Words | | substorm injection |
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 | | 3.45 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.96 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 93.90000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Naoko_Takahashi_080217_2 |
Minimum Dst Value | | -64 |
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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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