Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Naoko_Takahashi_080217_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 27, 2017 |
Start Time | | 2017/03/27 00:00 |
End Time | | 2017/03/30 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 | | -0.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.50 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 82.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Naoko_Takahashi_080217_1 |
Minimum Dst Value | | -74 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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