Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Adam_Liebers_110723_10 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 02, 2000 |
Start Time | | 2000/09/02 05:00 |
End Time | | 2000/09/02 21:00 |
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 | | -2.83 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 0 |
F10.7 | | 156.70000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Adam_Liebers_110723_10 |
Minimum Dst Value | | -57 |
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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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