Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWMF-01_2023-03-TP-01_080123_2 | |
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 | | 2023/03/21 00:00 |
End Time | | 2023/03/28 00:00 |
Key Words | | Storm |
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 | | -3.03 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | SWMF-01_2023-03-TP-01_080123_2 |
Minimum Dst Value | | -163 |
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 THEMIS-B for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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