Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Treshunda_James_120623_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 | | 2016/06/30 20:00 |
End Time | | 2016/07/01 10:00 |
Key Words | | 20160701_substorm_preconditioning |
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 | | 29.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Treshunda_James_120623_1 |
Minimum Dst Value | | -6 |
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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