Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Roxanne_Katus_012410_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 1 2000 |
Start Time | | 2000/11/01 00:00 |
End Time | | 2000/11/01 02:00 |
Key Words | | run1 |
Model | | BATSRUS |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -18.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.90 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 201.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Roxanne_Katus_012410_1 |
Minimum Dst Value | | -24 |
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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