Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: michelle_mendoza_102021_5 | |
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_5 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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