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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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