Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: K_Baker_060801 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 10 1997 |
Start Time | | 1997/03/10 0:10 |
End Time | | 1997/03/10 2:10 |
Key Words | | Quiet IMF |
Model | | BATSRUS |
Model Version | | v6.07 |
Validation Level | | 2 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -9.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 33.70 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | K_Baker_060801 |
Minimum Dst Value | | 3 |
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 GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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