Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWMF-Box_test-run-Pl_110923_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | |
Start Time | | 2023/04/24 00:00 |
End Time | | 2023/04/24 23:59 |
Key Words | | Storm low Mach number |
Model | | SWMF |
Model Version | | v20230424 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 10.95 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 0 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | SWMF-Box_test-run-Pl_110923_1 |
Minimum Dst Value | | -187 |
SW Source | | OMNI |
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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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