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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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