Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ankush_Bhaskar_070422_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 05, 2009 |
Start Time | | 2009/04/05 00:00 |
End Time | | 2009/04/05 08:00 |
Key Words | | Magnetosphere |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 3.56 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.28 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 70.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ankush_Bhaskar_070422_1 |
Minimum Dst Value | | 0 |
SW Source | | OMNI |
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 GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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