Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Adam_Liebers_110223_5 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 16, 2000 |
Start Time | | 2000/04/16 07:00 |
End Time | | 2000/04/16 18:00 |
Key Words | | weak |
Model | | LFM |
Model Version | | LTR-2_1_5 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 1.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.45 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 0 |
F10.7 | | 160.20000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Adam_Liebers_110223_5 |
Minimum Dst Value | | -79 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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