Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: michelle_mendoza_102021_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 01, 2000 |
Start Time | | 2000/01/01 00:00 |
End Time | | 2000/01/03 00:00 |
Key Words | | dream |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -26.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.33 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.60000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | michelle_mendoza_102021_4 |
Minimum Dst Value | | -50 |
SW Source | | ACE-L2 |
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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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