Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWMF-02_2023-03-TP-01_080223_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 | | 2023/03/21 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 | | 0 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | SWMF-02_2023-03-TP-01_080223_1 |
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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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