Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Michael_Hesse_052208_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | November 22 1997 |
Start Time | | 1997/11/22 17:01 |
End Time | | 1997/11/22 19:59 |
Key Words | | spiral aurora |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -9.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.60 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 97.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Michael_Hesse_052208_1 |
Minimum Dst Value | | -54 |
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.
Model values plot for Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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