Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yuni_Lee_020110_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 6 2000 |
Start Time | | 2000/04/06 13:00 |
End Time | | 2000/04/06 19:00 |
Key Words | | storm1 |
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 | | 13.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 178.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Yuni_Lee_020110_1 |
Minimum Dst Value | | -60 |
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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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