Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Bruce_Tepke_111011_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 12 2000 |
Start Time | | 2000/08/10 19:00 |
End Time | | 2000/08/11 11:00 |
Key Words | | stom substorms |
Model | | SWMF |
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 | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 60 |
F10.7 | | 186.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Bruce_Tepke_111011_1 |
Minimum Dst Value | | -106 |
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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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